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You searched for subject:(Histogram of Orientated Gradients). Showing records 1 – 30 of 293093 total matches.

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1. Gubbels, R. Text Detection using Coarse detection and SVM Classification.

Degree: 2014, Universiteit Utrecht

 In this paper a new approach to detect text in natural images is described using different detection methods. The end result will be that the… (more)

Subjects/Keywords: Text detection; Histogram of Orientated Gradients; Coarse-to-fine schema; Support Vector Machines; thresholds

…x29; [9] an alternative for SIFT is a Histogram of orientated gradients [16… …5 Classification using Support Vector Machine 5.1 Histogram of oriented gradients There… …5.2 Co-occurrence Histogram of Orientation Gradients The theory of the main reference is… …based on one of the drawbacks of Histogram of Orientation Gradients, this drawback is the fact… …histogram of oriented gradients tries to solve this problem, by introducing a co-occurrence matrix… 

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APA (6th Edition):

Gubbels, R. (2014). Text Detection using Coarse detection and SVM Classification. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/296615

Chicago Manual of Style (16th Edition):

Gubbels, R. “Text Detection using Coarse detection and SVM Classification.” 2014. Masters Thesis, Universiteit Utrecht. Accessed April 23, 2021. http://dspace.library.uu.nl:8080/handle/1874/296615.

MLA Handbook (7th Edition):

Gubbels, R. “Text Detection using Coarse detection and SVM Classification.” 2014. Web. 23 Apr 2021.

Vancouver:

Gubbels R. Text Detection using Coarse detection and SVM Classification. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2021 Apr 23]. Available from: http://dspace.library.uu.nl:8080/handle/1874/296615.

Council of Science Editors:

Gubbels R. Text Detection using Coarse detection and SVM Classification. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/296615


Brno University of Technology

2. Kuřátko, Jiří. Počítání lidí ve videu: Crowd Counting in Video.

Degree: 2019, Brno University of Technology

 This master's thesis prepared the programme which is able to follow the trajectories of the movement of people and based on this to create various… (more)

Subjects/Keywords: Histogram orientovaných gradientů; SVM; sledování optického toku; MHT; MOTA; MOTP; Histogram of Oriented Gradients; SVM; Optical Flow; MHT; MOTA; MOTP

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APA (6th Edition):

Kuřátko, J. (2019). Počítání lidí ve videu: Crowd Counting in Video. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/61962

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kuřátko, Jiří. “Počítání lidí ve videu: Crowd Counting in Video.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/61962.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kuřátko, Jiří. “Počítání lidí ve videu: Crowd Counting in Video.” 2019. Web. 23 Apr 2021.

Vancouver:

Kuřátko J. Počítání lidí ve videu: Crowd Counting in Video. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/61962.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kuřátko J. Počítání lidí ve videu: Crowd Counting in Video. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/61962

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

3. Dvořák, Michal. Detekce a rozpoznání dopravního značení: Traffic signs detection and recognition.

Degree: 2019, Brno University of Technology

 The goal of this thesis is the utilization of computer vision methods, in a way that will lead to detection and identification of traffic signs… (more)

Subjects/Keywords: počítačové vidění; dopravní značení; histogram orientovaných gradientů; segmentace; HSL; Computer vision; traffic signs; histogram of oriented gradients; segmentation; HSL

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APA (6th Edition):

Dvořák, M. (2019). Detekce a rozpoznání dopravního značení: Traffic signs detection and recognition. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/38607

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dvořák, Michal. “Detekce a rozpoznání dopravního značení: Traffic signs detection and recognition.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/38607.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dvořák, Michal. “Detekce a rozpoznání dopravního značení: Traffic signs detection and recognition.” 2019. Web. 23 Apr 2021.

Vancouver:

Dvořák M. Detekce a rozpoznání dopravního značení: Traffic signs detection and recognition. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/38607.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dvořák M. Detekce a rozpoznání dopravního značení: Traffic signs detection and recognition. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/38607

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

4. Nallaivarothayan, Hajananth. Video based detection of normal and anomalous behaviour of individuals.

Degree: 2017, Queensland University of Technology

 This PhD research has proposed novel computer vision and machine learning algorithms for the problem of video based anomalous event detection of individuals. Varieties of… (more)

Subjects/Keywords: Abnormal Event Detection; Video Surveillance; Rail Level Crossing; Hidden Markov Model; Markov Random Field; Optical Acceleration; Histogram of Optical Flow Gradients; Histogram of Optical Flow Magnitude Gradients; Conditional Random Field

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APA (6th Edition):

Nallaivarothayan, H. (2017). Video based detection of normal and anomalous behaviour of individuals. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/106947/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nallaivarothayan, Hajananth. “Video based detection of normal and anomalous behaviour of individuals.” 2017. Thesis, Queensland University of Technology. Accessed April 23, 2021. https://eprints.qut.edu.au/106947/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nallaivarothayan, Hajananth. “Video based detection of normal and anomalous behaviour of individuals.” 2017. Web. 23 Apr 2021.

Vancouver:

Nallaivarothayan H. Video based detection of normal and anomalous behaviour of individuals. [Internet] [Thesis]. Queensland University of Technology; 2017. [cited 2021 Apr 23]. Available from: https://eprints.qut.edu.au/106947/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nallaivarothayan H. Video based detection of normal and anomalous behaviour of individuals. [Thesis]. Queensland University of Technology; 2017. Available from: https://eprints.qut.edu.au/106947/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

5. Bureš, Václav. Detekce obličejů v obraze, nezávisle na natočení: Face Detection, Invariant to Rotation.

Degree: 2018, Brno University of Technology

 This bachelor thesis focuses on the detection of type uniform objects (concretely faces) in an image. Furthermore the thesis concentrates on the detection of objects… (more)

Subjects/Keywords: Detekce obličejů; počítačové vidění; AdaBoost; EigenFaces; Histogram Of Gradients; Logical Binary Patterns; OpenCV; dataset; Face detection; computer vision; AdaBoost; EigenFaces; Histogram Of Gradients; Logical Binary Patterns; OpenCV; dataset

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APA (6th Edition):

Bureš, V. (2018). Detekce obličejů v obraze, nezávisle na natočení: Face Detection, Invariant to Rotation. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55921

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bureš, Václav. “Detekce obličejů v obraze, nezávisle na natočení: Face Detection, Invariant to Rotation.” 2018. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/55921.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bureš, Václav. “Detekce obličejů v obraze, nezávisle na natočení: Face Detection, Invariant to Rotation.” 2018. Web. 23 Apr 2021.

Vancouver:

Bureš V. Detekce obličejů v obraze, nezávisle na natočení: Face Detection, Invariant to Rotation. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/55921.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bureš V. Detekce obličejů v obraze, nezávisle na natočení: Face Detection, Invariant to Rotation. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/55921

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

6. Kałuża, Marian. Rozpoznání pohlaví člověka na fotografii: Gender Recognition from Photograph.

Degree: 2018, Brno University of Technology

 This paper presents a multiresolution approach for gender recognition based on Histogram of Oriented Gradients and Local Binary Patterns. The experiment showed that gender recog-… (more)

Subjects/Keywords: Rozpoznání pohlaví; Histogram of Oriented Gradients; Local Binary Patterns; Včesná fúze; Pozdní fúze; Lineární regrese; Gender recognition; Histogram of oriented gradients; Local binary patterns; Serial fusion; Parallel fusion; Linear regression

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APA (6th Edition):

Kałuża, M. (2018). Rozpoznání pohlaví člověka na fotografii: Gender Recognition from Photograph. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55954

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kałuża, Marian. “Rozpoznání pohlaví člověka na fotografii: Gender Recognition from Photograph.” 2018. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/55954.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kałuża, Marian. “Rozpoznání pohlaví člověka na fotografii: Gender Recognition from Photograph.” 2018. Web. 23 Apr 2021.

Vancouver:

Kałuża M. Rozpoznání pohlaví člověka na fotografii: Gender Recognition from Photograph. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/55954.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kałuża M. Rozpoznání pohlaví člověka na fotografii: Gender Recognition from Photograph. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/55954

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

7. Gomatam, Priyanka. Object Recognition Using Structured Feature Extraction With A Reconfigurable, Neurosynaptic Processor.

Degree: 2017, Penn State University

 Neuromorphic hardware has culminated increased interest, with a focus on designing efficient platforms that can support neural network tasks. Many algorithms used in applications today… (more)

Subjects/Keywords: Truenorth; neuromorphic hardware; object detection; histogram of oriented gradients; neural network hardware

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APA (6th Edition):

Gomatam, P. (2017). Object Recognition Using Structured Feature Extraction With A Reconfigurable, Neurosynaptic Processor. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13945pkg5076

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gomatam, Priyanka. “Object Recognition Using Structured Feature Extraction With A Reconfigurable, Neurosynaptic Processor.” 2017. Thesis, Penn State University. Accessed April 23, 2021. https://submit-etda.libraries.psu.edu/catalog/13945pkg5076.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gomatam, Priyanka. “Object Recognition Using Structured Feature Extraction With A Reconfigurable, Neurosynaptic Processor.” 2017. Web. 23 Apr 2021.

Vancouver:

Gomatam P. Object Recognition Using Structured Feature Extraction With A Reconfigurable, Neurosynaptic Processor. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Apr 23]. Available from: https://submit-etda.libraries.psu.edu/catalog/13945pkg5076.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gomatam P. Object Recognition Using Structured Feature Extraction With A Reconfigurable, Neurosynaptic Processor. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13945pkg5076

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

8. Heydarian, Arsalan. Automated Vision-Based Tracking and Action Recognition of Earthmoving Construction Operations.

Degree: MS, Civil Engineering, 2012, Virginia Tech

 The current practice of construction productivity and emission monitoring is performed by either manual stopwatch studies which are significantly labor intensive and subject to human… (more)

Subjects/Keywords: Support Vector Machine; Histogram of Gradients; Action Recognition; 2D Tracking; Construction Performance Monitoring

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APA (6th Edition):

Heydarian, A. (2012). Automated Vision-Based Tracking and Action Recognition of Earthmoving Construction Operations. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76761

Chicago Manual of Style (16th Edition):

Heydarian, Arsalan. “Automated Vision-Based Tracking and Action Recognition of Earthmoving Construction Operations.” 2012. Masters Thesis, Virginia Tech. Accessed April 23, 2021. http://hdl.handle.net/10919/76761.

MLA Handbook (7th Edition):

Heydarian, Arsalan. “Automated Vision-Based Tracking and Action Recognition of Earthmoving Construction Operations.” 2012. Web. 23 Apr 2021.

Vancouver:

Heydarian A. Automated Vision-Based Tracking and Action Recognition of Earthmoving Construction Operations. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10919/76761.

Council of Science Editors:

Heydarian A. Automated Vision-Based Tracking and Action Recognition of Earthmoving Construction Operations. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/76761


Brno University of Technology

9. Valchář, Vít. Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera.

Degree: 2020, Brno University of Technology

 This thesis deals with detection and mapping the motion of people from a video record. It explains methods for image detection and their usage in… (more)

Subjects/Keywords: Detekce osob; Počítačové vidění; Mapování pohybu osob; Histogram orientovaných gradient; metoda odečítání pozadí; Pedastrian detection; Computer vision; Mapping the motion of people; Histogram of oriented gradients; Background subtraction.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Valchář, V. (2020). Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Valchář, Vít. “Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera.” 2020. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/189503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Valchář, Vít. “Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera.” 2020. Web. 23 Apr 2021.

Vancouver:

Valchář V. Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/189503.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Valchář V. Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189503

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

10. Valchář, Vít. Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera.

Degree: 2018, Brno University of Technology

 This thesis deals with detection and mapping the motion of people from a video record. It explains methods for image detection and their usage in… (more)

Subjects/Keywords: Detekce osob; Počítačové vidění; Mapování pohybu osob; Histogram orientovaných gradient; metoda odečítání pozadí; Pedastrian detection; Computer vision; Mapping the motion of people; Histogram of oriented gradients; Background subtraction.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Valchář, V. (2018). Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/56596

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Valchář, Vít. “Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera.” 2018. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/56596.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Valchář, Vít. “Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera.” 2018. Web. 23 Apr 2021.

Vancouver:

Valchář V. Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/56596.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Valchář V. Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/56596

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

11. Valchář, Vít. Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera.

Degree: 2020, Brno University of Technology

 This thesis deals with detection and mapping the motion of people from a video record. It explains methods for image detection and their usage in… (more)

Subjects/Keywords: Detekce osob; Počítačové vidění; Mapování pohybu osob; Histogram orientovaných gradient; metoda odečítání pozadí; Pedastrian detection; Computer vision; Mapping the motion of people; Histogram of oriented gradients; Background subtraction.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Valchář, V. (2020). Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188391

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Valchář, Vít. “Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera.” 2020. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/188391.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Valchář, Vít. “Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera.” 2020. Web. 23 Apr 2021.

Vancouver:

Valchář V. Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/188391.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Valchář V. Mapování pohybu osob stacionární kamerou: Mapping the Motion of People by a Stationary Camera. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188391

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Venkatrayappa, Darshan. Image matching using rotating filters : Mise en correspondance d'images avec des filtres tournants.

Degree: Docteur es, Informatique, 2015, Montpellier

De nos jours les algorithmes de vision par ordinateur abondent dans les applications de vidéo-surveillance, de reconstruction 3D, de véhicules autonomes, d'imagerie médicale, etc… La… (more)

Subjects/Keywords: Filtres tournants; Descripteurs locaux d'images; Mise en correspondance; Histogrammes de gradients orientes; Difference de gaussiennes; Rotating half filters; Local image descriptor; Image matching; Histogram of Oriented gradients; Difference of Gaussian

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Venkatrayappa, D. (2015). Image matching using rotating filters : Mise en correspondance d'images avec des filtres tournants. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2015MONTS200

Chicago Manual of Style (16th Edition):

Venkatrayappa, Darshan. “Image matching using rotating filters : Mise en correspondance d'images avec des filtres tournants.” 2015. Doctoral Dissertation, Montpellier. Accessed April 23, 2021. http://www.theses.fr/2015MONTS200.

MLA Handbook (7th Edition):

Venkatrayappa, Darshan. “Image matching using rotating filters : Mise en correspondance d'images avec des filtres tournants.” 2015. Web. 23 Apr 2021.

Vancouver:

Venkatrayappa D. Image matching using rotating filters : Mise en correspondance d'images avec des filtres tournants. [Internet] [Doctoral dissertation]. Montpellier; 2015. [cited 2021 Apr 23]. Available from: http://www.theses.fr/2015MONTS200.

Council of Science Editors:

Venkatrayappa D. Image matching using rotating filters : Mise en correspondance d'images avec des filtres tournants. [Doctoral Dissertation]. Montpellier; 2015. Available from: http://www.theses.fr/2015MONTS200


Brno University of Technology

13. Němec, Jiří. Detekce pohybujících se objektů ve video sekvenci: Moving Objects Detection in Video Sequences.

Degree: 2020, Brno University of Technology

 This thesis deals with methods for the detection of people and tracking objects in video sequences. An application for detection and tracking of players in… (more)

Subjects/Keywords: sledování objektů; detekce hráčů; histogram orientovaných gradientů; částicový filtr; support vector machines; object tracking; players detection; histogram of oriented gradients; particle filter; support vector machines

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Němec, J. (2020). Detekce pohybujících se objektů ve video sekvenci: Moving Objects Detection in Video Sequences. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/187628

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Němec, Jiří. “Detekce pohybujících se objektů ve video sekvenci: Moving Objects Detection in Video Sequences.” 2020. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/187628.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Němec, Jiří. “Detekce pohybujících se objektů ve video sekvenci: Moving Objects Detection in Video Sequences.” 2020. Web. 23 Apr 2021.

Vancouver:

Němec J. Detekce pohybujících se objektů ve video sekvenci: Moving Objects Detection in Video Sequences. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/187628.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Němec J. Detekce pohybujících se objektů ve video sekvenci: Moving Objects Detection in Video Sequences. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/187628

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

14. Goldmann, Tomáš. Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance.

Degree: 2020, Brno University of Technology

 This bachelor thesis contains a description of the basic system for perimeter monitoring. The main part of the thesis introduces the methods of computer vision… (more)

Subjects/Keywords: detekce lidí; extrakce příznaků; Histogram gradientů; Algoritmus podpůrných vektorů; AdaBoost; SIFT; SURF; PIR; human detection; feature extraction; Histogram of Gradients; Support Vector Machine; AdaBoost; SIFT; SURF; PIR

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Goldmann, T. (2020). Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190008

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Goldmann, Tomáš. “Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance.” 2020. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/190008.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Goldmann, Tomáš. “Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance.” 2020. Web. 23 Apr 2021.

Vancouver:

Goldmann T. Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/190008.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Goldmann T. Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190008

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

15. Jaroš, Ján. Podpora tvorby map pomocí metod zpracování obrazu: Support of Mapping by Image Processing.

Degree: 2019, Brno University of Technology

 This bachelor's thesis deals with methods of detection of selected objects in video and with importing these objects into OpenStreetMap central database based on their… (more)

Subjects/Keywords: Detekce dopravních značek; Rozpoznávaní dopravních značek; OpenCV; Podpůrné vektory; Histogram orientovaných gradientů; JOSM; OpenStreetMap; Road sign detection; Road sign recognition; OpenCV; Support Vector Machine; Histogram of oriented gradients; JOSM; OpenStreetMap

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jaroš, J. (2019). Podpora tvorby map pomocí metod zpracování obrazu: Support of Mapping by Image Processing. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55235

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jaroš, Ján. “Podpora tvorby map pomocí metod zpracování obrazu: Support of Mapping by Image Processing.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/55235.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jaroš, Ján. “Podpora tvorby map pomocí metod zpracování obrazu: Support of Mapping by Image Processing.” 2019. Web. 23 Apr 2021.

Vancouver:

Jaroš J. Podpora tvorby map pomocí metod zpracování obrazu: Support of Mapping by Image Processing. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/55235.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jaroš J. Podpora tvorby map pomocí metod zpracování obrazu: Support of Mapping by Image Processing. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55235

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

16. Keršner, Martin. Rozpoznání obličeje: Face Recognition.

Degree: 2019, Brno University of Technology

 The thesis deals with Face Recognition. The aim was to study the various methods of feature extraction and determine their influence on the success of… (more)

Subjects/Keywords: Local Binary Pattern; Histogram orientovaných gradientů; Gaborovy filtry; Rozpoznání obličeje; Support Vector Machines; Local Binary Pattern; Histogram of Oriented Gradients; Gabor Filter; Face Recognition; Support Vector Machines

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Keršner, M. (2019). Rozpoznání obličeje: Face Recognition. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55317

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Keršner, Martin. “Rozpoznání obličeje: Face Recognition.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/55317.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Keršner, Martin. “Rozpoznání obličeje: Face Recognition.” 2019. Web. 23 Apr 2021.

Vancouver:

Keršner M. Rozpoznání obličeje: Face Recognition. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/55317.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Keršner M. Rozpoznání obličeje: Face Recognition. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55317

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

17. Dušek, Jan. Detekce dopravních značek z kamery ve vozidle: Road Sign Detection from Camera in Car.

Degree: 2019, Brno University of Technology

 This bachelor's thesis is focused on detection of traffic signs from image or video. Algorithms common for object detection will be introduced in the beginning.… (more)

Subjects/Keywords: dopravní značky; detekce; histogram orientovaných gradientů; support vector machines; posuvné okno; traffic signs; detection; histogram of oriented gradients; suppot vector machines; sliding window

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dušek, J. (2019). Detekce dopravních značek z kamery ve vozidle: Road Sign Detection from Camera in Car. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52380

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dušek, Jan. “Detekce dopravních značek z kamery ve vozidle: Road Sign Detection from Camera in Car.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/52380.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dušek, Jan. “Detekce dopravních značek z kamery ve vozidle: Road Sign Detection from Camera in Car.” 2019. Web. 23 Apr 2021.

Vancouver:

Dušek J. Detekce dopravních značek z kamery ve vozidle: Road Sign Detection from Camera in Car. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/52380.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dušek J. Detekce dopravních značek z kamery ve vozidle: Road Sign Detection from Camera in Car. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/52380

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

18. Goldmann, Tomáš. Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance.

Degree: 2020, Brno University of Technology

 This bachelor thesis contains a description of the basic system for perimeter monitoring. The main part of the thesis introduces the methods of computer vision… (more)

Subjects/Keywords: detekce lidí; extrakce příznaků; Histogram gradientů; Algoritmus podpůrných vektorů; AdaBoost; SIFT; SURF; PIR; human detection; feature extraction; Histogram of Gradients; Support Vector Machine; AdaBoost; SIFT; SURF; PIR

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Goldmann, T. (2020). Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188345

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Goldmann, Tomáš. “Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance.” 2020. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/188345.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Goldmann, Tomáš. “Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance.” 2020. Web. 23 Apr 2021.

Vancouver:

Goldmann T. Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/188345.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Goldmann T. Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188345

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

19. Goldmann, Tomáš. Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance.

Degree: 2019, Brno University of Technology

 This bachelor thesis contains a description of the basic system for perimeter monitoring. The main part of the thesis introduces the methods of computer vision… (more)

Subjects/Keywords: detekce lidí; extrakce příznaků; Histogram gradientů; Algoritmus podpůrných vektorů; AdaBoost; SIFT; SURF; PIR; human detection; feature extraction; Histogram of Gradients;   Support Vector Machine; AdaBoost; SIFT; SURF; PIR

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Goldmann, T. (2019). Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55034

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Goldmann, Tomáš. “Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/55034.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Goldmann, Tomáš. “Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance.” 2019. Web. 23 Apr 2021.

Vancouver:

Goldmann T. Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/55034.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Goldmann T. Sledování hlídaného prostoru a detekce narušení bezpečnosti kamerovým systémem: Perimeter Monitoring and Intrusion Detection Based on Camera Surveillance. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55034

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

20. Memarzadeh, Milad. Automated 2D Detection and Localization of Construction Resources in Support of Automated Performance Assessment of Construction Operations.

Degree: MS, Civil Engineering, 2012, Virginia Tech

 This study presents two computer vision based algorithms for automated 2D detection of construction workers and equipment from site video streams. The state-of-the-art research proposes… (more)

Subjects/Keywords: Support Vector Machine; Histogram of Oriented Gradients; Deformable Part-based Models; HSV Colors; Resource Detection and Localization; Performance Monitoring

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APA (6th Edition):

Memarzadeh, M. (2012). Automated 2D Detection and Localization of Construction Resources in Support of Automated Performance Assessment of Construction Operations. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76908

Chicago Manual of Style (16th Edition):

Memarzadeh, Milad. “Automated 2D Detection and Localization of Construction Resources in Support of Automated Performance Assessment of Construction Operations.” 2012. Masters Thesis, Virginia Tech. Accessed April 23, 2021. http://hdl.handle.net/10919/76908.

MLA Handbook (7th Edition):

Memarzadeh, Milad. “Automated 2D Detection and Localization of Construction Resources in Support of Automated Performance Assessment of Construction Operations.” 2012. Web. 23 Apr 2021.

Vancouver:

Memarzadeh M. Automated 2D Detection and Localization of Construction Resources in Support of Automated Performance Assessment of Construction Operations. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10919/76908.

Council of Science Editors:

Memarzadeh M. Automated 2D Detection and Localization of Construction Resources in Support of Automated Performance Assessment of Construction Operations. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/76908


Brno University of Technology

21. Mrázek, Zdeněk. Aplikace pro demonstraci metody Histogram of Oriented Gradients pro detekci objektů: Application for a Demonstration of the Histogram of Oriented Gradients Method for Object Detection.

Degree: 2019, Brno University of Technology

 The target of this thesis is summarize the theory of method Histogram of oriented gradients and process algorithm for demonstration and visualization HOG descriptor, train… (more)

Subjects/Keywords: HOG; Histogram orientovaných gradientů; C++; OpenCV; gradient; histogram; deskriptor; SVM; Support vector machines; trénování; detekce; HOG; Histogram of oriented gradients; C++; OpenCV; gradient; histogram; descriptor; SVM; Support vector machines; training; detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mrázek, Z. (2019). Aplikace pro demonstraci metody Histogram of Oriented Gradients pro detekci objektů: Application for a Demonstration of the Histogram of Oriented Gradients Method for Object Detection. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/34220

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mrázek, Zdeněk. “Aplikace pro demonstraci metody Histogram of Oriented Gradients pro detekci objektů: Application for a Demonstration of the Histogram of Oriented Gradients Method for Object Detection.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/34220.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mrázek, Zdeněk. “Aplikace pro demonstraci metody Histogram of Oriented Gradients pro detekci objektů: Application for a Demonstration of the Histogram of Oriented Gradients Method for Object Detection.” 2019. Web. 23 Apr 2021.

Vancouver:

Mrázek Z. Aplikace pro demonstraci metody Histogram of Oriented Gradients pro detekci objektů: Application for a Demonstration of the Histogram of Oriented Gradients Method for Object Detection. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/34220.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mrázek Z. Aplikace pro demonstraci metody Histogram of Oriented Gradients pro detekci objektů: Application for a Demonstration of the Histogram of Oriented Gradients Method for Object Detection. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/34220

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

22. Klos, Dominik. Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images.

Degree: 2020, Brno University of Technology

 This thesis deals with an automatic counting of cylinders placed on the back of a truck using images taken by a camera mounted above the… (more)

Subjects/Keywords: tlakové lahve; nákladní vůz; Support Vector Machine; Histogram of Oriented Gradients; Optical Flow; Lucas - Kanade; klasifikace; detekce; rozpoznávání; tracking; gas cylinder; truck; Support Vector Machine; Histogram of Oriented Gradients; Optical Flow; Lucas - Kanade; classification; detection; recognition; tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Klos, D. (2020). Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190142

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Klos, Dominik. “Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images.” 2020. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/190142.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Klos, Dominik. “Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images.” 2020. Web. 23 Apr 2021.

Vancouver:

Klos D. Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/190142.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Klos D. Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190142

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

23. Klos, Dominik. Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images.

Degree: 2020, Brno University of Technology

 This thesis deals with an automatic counting of cylinders placed on the back of a truck using images taken by a camera mounted above the… (more)

Subjects/Keywords: tlakové lahve; nákladní vůz; Support Vector Machine; Histogram of Oriented Gradients; Optical Flow; Lucas - Kanade; klasifikace; detekce; rozpoznávání; tracking; gas cylinder; truck; Support Vector Machine; Histogram of Oriented Gradients; Optical Flow; Lucas - Kanade; classification; detection; recognition; tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Klos, D. (2020). Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188790

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Klos, Dominik. “Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images.” 2020. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/188790.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Klos, Dominik. “Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images.” 2020. Web. 23 Apr 2021.

Vancouver:

Klos D. Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/188790.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Klos D. Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188790

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

24. Klos, Dominik. Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images.

Degree: 2020, Brno University of Technology

 This thesis deals with an automatic counting of cylinders placed on the back of a truck using images taken by a camera mounted above the… (more)

Subjects/Keywords: tlakové lahve; nákladní vůz; Support Vector Machine; Histogram of Oriented Gradients; Optical Flow; Lucas - Kanade; klasifikace; detekce; rozpoznávání; tracking; gas cylinder; truck; Support Vector Machine; Histogram of Oriented Gradients; Optical Flow; Lucas - Kanade; classification; detection; recognition; tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Klos, D. (2020). Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53298

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Klos, Dominik. “Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images.” 2020. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/53298.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Klos, Dominik. “Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images.” 2020. Web. 23 Apr 2021.

Vancouver:

Klos D. Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/53298.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Klos D. Počítání tlakových lahví v obraze: Gas Cylinder Counting in Camera Images. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/53298

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

25. Svoboda, Tomáš. Detekce, lokalizace a rozpoznání dopravních značek: Detection, Localization and Recognition of Traffic Signs.

Degree: 2019, Brno University of Technology

 This master's thesis deals with the localization, detection and recognition of traffic signs. The possibilities of selection of areas with possible traffic signs occurrence are… (more)

Subjects/Keywords: dopravní značky; kaskáda klasifikátorů; histogram orientovaných gradientů; support vector machines; výběr oblastí s pravděpodobným výskytem dopravních značek; traffic signs; cascade of classifiers; histogram of oriented gradients; support vector machines; selection of areas with possible traffic signs occurrence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Svoboda, T. (2019). Detekce, lokalizace a rozpoznání dopravních značek: Detection, Localization and Recognition of Traffic Signs. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54101

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Svoboda, Tomáš. “Detekce, lokalizace a rozpoznání dopravních značek: Detection, Localization and Recognition of Traffic Signs.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/54101.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Svoboda, Tomáš. “Detekce, lokalizace a rozpoznání dopravních značek: Detection, Localization and Recognition of Traffic Signs.” 2019. Web. 23 Apr 2021.

Vancouver:

Svoboda T. Detekce, lokalizace a rozpoznání dopravních značek: Detection, Localization and Recognition of Traffic Signs. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/54101.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Svoboda T. Detekce, lokalizace a rozpoznání dopravních značek: Detection, Localization and Recognition of Traffic Signs. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54101

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of the Western Cape

26. Deaney, Mogammat Waleed. A Comparison of Machine Learning Techniques for Facial Expression Recognition .

Degree: 2018, University of the Western Cape

 A machine translation system that can convert South African Sign Language (SASL) video to audio or text and vice versa would be bene cial to… (more)

Subjects/Keywords: Facial expression recognition; Feature extraction; Machine learning; Support vector machine; Random forest; Arti cial neural network; Local binary patterns; Compound local binary patterns; Histogram of oriented gradients

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APA (6th Edition):

Deaney, M. W. (2018). A Comparison of Machine Learning Techniques for Facial Expression Recognition . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/6412

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Deaney, Mogammat Waleed. “A Comparison of Machine Learning Techniques for Facial Expression Recognition .” 2018. Thesis, University of the Western Cape. Accessed April 23, 2021. http://hdl.handle.net/11394/6412.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Deaney, Mogammat Waleed. “A Comparison of Machine Learning Techniques for Facial Expression Recognition .” 2018. Web. 23 Apr 2021.

Vancouver:

Deaney MW. A Comparison of Machine Learning Techniques for Facial Expression Recognition . [Internet] [Thesis]. University of the Western Cape; 2018. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11394/6412.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Deaney MW. A Comparison of Machine Learning Techniques for Facial Expression Recognition . [Thesis]. University of the Western Cape; 2018. Available from: http://hdl.handle.net/11394/6412

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Prabhu, Gayatri D. Automated Detection and Counting of Pedestrians on an Urban Roadside.

Degree: MS, Electrical & Computer Engineering, 2011, University of Massachusetts

  This thesis implements an automated system that counts pedestrians with 85% accuracy. Two approaches have been considered and evaluated in terms of count accuracy,… (more)

Subjects/Keywords: Pedestrian detection; Pedestrian counting; Transportation planning; Computer vision; Autoscope; Histogram of oriented gradients; Other Civil and Environmental Engineering; Other Electrical and Computer Engineering; Signal Processing

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APA (6th Edition):

Prabhu, G. D. (2011). Automated Detection and Counting of Pedestrians on an Urban Roadside. (Masters Thesis). University of Massachusetts. Retrieved from https://scholarworks.umass.edu/theses/708

Chicago Manual of Style (16th Edition):

Prabhu, Gayatri D. “Automated Detection and Counting of Pedestrians on an Urban Roadside.” 2011. Masters Thesis, University of Massachusetts. Accessed April 23, 2021. https://scholarworks.umass.edu/theses/708.

MLA Handbook (7th Edition):

Prabhu, Gayatri D. “Automated Detection and Counting of Pedestrians on an Urban Roadside.” 2011. Web. 23 Apr 2021.

Vancouver:

Prabhu GD. Automated Detection and Counting of Pedestrians on an Urban Roadside. [Internet] [Masters thesis]. University of Massachusetts; 2011. [cited 2021 Apr 23]. Available from: https://scholarworks.umass.edu/theses/708.

Council of Science Editors:

Prabhu GD. Automated Detection and Counting of Pedestrians on an Urban Roadside. [Masters Thesis]. University of Massachusetts; 2011. Available from: https://scholarworks.umass.edu/theses/708


Brno University of Technology

28. Debnár, Pavol. Detekce palných zbraní v obrazu: Weapon Detection in an Image.

Degree: 2019, Brno University of Technology

 This thesis is focused on the topic of firearms detection in images. In the theoretic section, the explanation of the term firearm is covered, along… (more)

Subjects/Keywords: strelné zbrane; detekcia objektov; SURF; SSD; HOG; SVM; Speeded-Up Robust Features; Single Shot Multibox Detector; Histogram of Oriented Gradients; Support Vector Machines; detekcia strelných zbraní; neurónové siete; konvolučné neurónové siete; CNN; firearms; object detection; SURF; SSD; HOG; SVM; Speeded-Up Robust Features; Single Shot Multibox Detector; Histogram of Oriented Gradients; Support Vector Machines; firearm detection; neural nets; convolutional neural nets; CNN

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Debnár, P. (2019). Detekce palných zbraní v obrazu: Weapon Detection in an Image. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Debnár, Pavol. “Detekce palných zbraní v obrazu: Weapon Detection in an Image.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/180188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Debnár, Pavol. “Detekce palných zbraní v obrazu: Weapon Detection in an Image.” 2019. Web. 23 Apr 2021.

Vancouver:

Debnár P. Detekce palných zbraní v obrazu: Weapon Detection in an Image. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/180188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Debnár P. Detekce palných zbraní v obrazu: Weapon Detection in an Image. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

29. Trnkal, Milan. Sledování pohybů osob v záznamu ze stacionární kamery: Pedestrians Tracking in a Video Record from a Stationary Camera.

Degree: 2019, Brno University of Technology

 This bachelor thesis focuses on pedestrians tracking from camera. In this work, I have introduced several methods of computer vision suitable for detection and classification… (more)

Subjects/Keywords: Histogram gradientů; SVM; Extrakce příznaků; Adaptivní směsice Gaussových křivek; Detekce lidí; Sledování chodců; OpenCV; Detekce pohybu ve videu; Záznam pohybu; Histogram of Oriented Gradients; SVM; Feature extraction; Gaussian mixture model; People detection; Pedestrian tracking; OpenCV; Detection of movement in video; Trajectory capture

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APA (6th Edition):

Trnkal, M. (2019). Sledování pohybů osob v záznamu ze stacionární kamery: Pedestrians Tracking in a Video Record from a Stationary Camera. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/62060

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Trnkal, Milan. “Sledování pohybů osob v záznamu ze stacionární kamery: Pedestrians Tracking in a Video Record from a Stationary Camera.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/62060.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Trnkal, Milan. “Sledování pohybů osob v záznamu ze stacionární kamery: Pedestrians Tracking in a Video Record from a Stationary Camera.” 2019. Web. 23 Apr 2021.

Vancouver:

Trnkal M. Sledování pohybů osob v záznamu ze stacionární kamery: Pedestrians Tracking in a Video Record from a Stationary Camera. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/62060.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Trnkal M. Sledování pohybů osob v záznamu ze stacionární kamery: Pedestrians Tracking in a Video Record from a Stationary Camera. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/62060

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

30. Novák, Pavel. Vyhledávání objektů v obraze na základě předlohy: Image object detection using template.

Degree: 2019, Brno University of Technology

 This Thesis is focused to Image Object Detection using Template. Main Benefit of this Work is a new Method for sympthoms extraction from Histogram of… (more)

Subjects/Keywords: Detekce objektu; počítačové vidění; histogram orientovaných gradientů; porovnání obrazu; sada komparátorů; extrakce dat; křížová validace; Object Detection; Computer Vision; Histogram of Oriented Gradients; Image Comparing; Set of Comparators; Data extraction; X-Validation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Novák, P. (2019). Vyhledávání objektů v obraze na základě předlohy: Image object detection using template. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/32894

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Novák, Pavel. “Vyhledávání objektů v obraze na základě předlohy: Image object detection using template.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/32894.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Novák, Pavel. “Vyhledávání objektů v obraze na základě předlohy: Image object detection using template.” 2019. Web. 23 Apr 2021.

Vancouver:

Novák P. Vyhledávání objektů v obraze na základě předlohy: Image object detection using template. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/32894.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Novák P. Vyhledávání objektů v obraze na základě předlohy: Image object detection using template. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/32894

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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