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You searched for subject:(Foreground segmentation). Showing records 1 – 15 of 15 total matches.

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Colorado State University

1. Dutta, Rahul. Video alignment to a common reference.

Degree: MS(M.S.), Computer Science, 2015, Colorado State University

 Handheld videos often include unintentional motion (jitter) and intentional motion (pan and/or zoom). Human viewers prefer to see jitter removed, creating a smoothly moving camera.… (more)

Subjects/Keywords: foreground segmentation; video stabilization; tracking; computer vision

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APA (6th Edition):

Dutta, R. (2015). Video alignment to a common reference. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/166958

Chicago Manual of Style (16th Edition):

Dutta, Rahul. “Video alignment to a common reference.” 2015. Masters Thesis, Colorado State University. Accessed August 14, 2020. http://hdl.handle.net/10217/166958.

MLA Handbook (7th Edition):

Dutta, Rahul. “Video alignment to a common reference.” 2015. Web. 14 Aug 2020.

Vancouver:

Dutta R. Video alignment to a common reference. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/10217/166958.

Council of Science Editors:

Dutta R. Video alignment to a common reference. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/166958

2. Jain, Suyog Dutt. Human machine collaboration for foreground segmentation in images and videos.

Degree: PhD, Computer Science, 2018, University of Texas – Austin

Foreground segmentation is defined as the problem of generating pixel level foreground masks for all the objects in a given image or video. Accurate foreground(more)

Subjects/Keywords: Computer vision; Crowdsourcing; Human machine collaboration; Image and video segmentation; Image segmentation; Video segmentation; Foreground segmentation; Object segmentation

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APA (6th Edition):

Jain, S. D. (2018). Human machine collaboration for foreground segmentation in images and videos. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63453

Chicago Manual of Style (16th Edition):

Jain, Suyog Dutt. “Human machine collaboration for foreground segmentation in images and videos.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed August 14, 2020. http://hdl.handle.net/2152/63453.

MLA Handbook (7th Edition):

Jain, Suyog Dutt. “Human machine collaboration for foreground segmentation in images and videos.” 2018. Web. 14 Aug 2020.

Vancouver:

Jain SD. Human machine collaboration for foreground segmentation in images and videos. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/2152/63453.

Council of Science Editors:

Jain SD. Human machine collaboration for foreground segmentation in images and videos. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/63453

3. Fredrik, Hemström. Privacy Protecting Surveillance: A Proof-of-Concept Demonstrator.

Degree: Faculty of Science & Engineering, 2015, Linköping UniversityLinköping University

  Visual surveillance systems are increasingly common in our society today. There is a conflict between the demands for security of the public and the… (more)

Subjects/Keywords: privacy protection; computer vision; foreground segmentation; integrity preserving

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APA (6th Edition):

Fredrik, H. (2015). Privacy Protecting Surveillance: A Proof-of-Concept Demonstrator. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-118230

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):

Fredrik, Hemström. “Privacy Protecting Surveillance: A Proof-of-Concept Demonstrator.” 2015. Thesis, Linköping UniversityLinköping University. Accessed August 14, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-118230.

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

MLA Handbook (7th Edition):

Fredrik, Hemström. “Privacy Protecting Surveillance: A Proof-of-Concept Demonstrator.” 2015. Web. 14 Aug 2020.

Vancouver:

Fredrik H. Privacy Protecting Surveillance: A Proof-of-Concept Demonstrator. [Internet] [Thesis]. Linköping UniversityLinköping University; 2015. [cited 2020 Aug 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-118230.

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

Council of Science Editors:

Fredrik H. Privacy Protecting Surveillance: A Proof-of-Concept Demonstrator. [Thesis]. Linköping UniversityLinköping University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-118230

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

4. Murgia, Julian. Segmentation d'objets mobiles par fusion RGB-D et invariance colorimétrique : Mooving objects segmentation by RGB-D fusion and color constancy.

Degree: Docteur es, Informatique, 2016, Belfort-Montbéliard

Cette thèse s'inscrit dans un cadre de vidéo-surveillance, et s'intéresse plus précisément à la détection robustesd'objets mobiles dans une séquence d'images. Une bonne détection d'objets… (more)

Subjects/Keywords: Segmentation d'images; Invariance colorimétrique; Codebook; Fusion floue; Segmentation fond/forme; Segmentation RGB-D; Image segmentation; Color constancy; Codebook; Fuzzy fusion; Background/foreground segmentation; RGB-D segmentation; 004

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APA (6th Edition):

Murgia, J. (2016). Segmentation d'objets mobiles par fusion RGB-D et invariance colorimétrique : Mooving objects segmentation by RGB-D fusion and color constancy. (Doctoral Dissertation). Belfort-Montbéliard. Retrieved from http://www.theses.fr/2016BELF0289

Chicago Manual of Style (16th Edition):

Murgia, Julian. “Segmentation d'objets mobiles par fusion RGB-D et invariance colorimétrique : Mooving objects segmentation by RGB-D fusion and color constancy.” 2016. Doctoral Dissertation, Belfort-Montbéliard. Accessed August 14, 2020. http://www.theses.fr/2016BELF0289.

MLA Handbook (7th Edition):

Murgia, Julian. “Segmentation d'objets mobiles par fusion RGB-D et invariance colorimétrique : Mooving objects segmentation by RGB-D fusion and color constancy.” 2016. Web. 14 Aug 2020.

Vancouver:

Murgia J. Segmentation d'objets mobiles par fusion RGB-D et invariance colorimétrique : Mooving objects segmentation by RGB-D fusion and color constancy. [Internet] [Doctoral dissertation]. Belfort-Montbéliard; 2016. [cited 2020 Aug 14]. Available from: http://www.theses.fr/2016BELF0289.

Council of Science Editors:

Murgia J. Segmentation d'objets mobiles par fusion RGB-D et invariance colorimétrique : Mooving objects segmentation by RGB-D fusion and color constancy. [Doctoral Dissertation]. Belfort-Montbéliard; 2016. Available from: http://www.theses.fr/2016BELF0289


University of Kentucky

5. Sajid, Hasan. A Universal Background Subtraction System.

Degree: 2014, University of Kentucky

 Background Subtraction is one of the fundamental pre-processing steps in video processing. It helps to distinguish between foreground and background for any given image and… (more)

Subjects/Keywords: Background Subtraction; Color Spaces; Binary Classifiers; Foreground Segmentation; Pixel Classification.; Signal Processing

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APA (6th Edition):

Sajid, H. (2014). A Universal Background Subtraction System. (Masters Thesis). University of Kentucky. Retrieved from http://uknowledge.uky.edu/ece_etds/47

Chicago Manual of Style (16th Edition):

Sajid, Hasan. “A Universal Background Subtraction System.” 2014. Masters Thesis, University of Kentucky. Accessed August 14, 2020. http://uknowledge.uky.edu/ece_etds/47.

MLA Handbook (7th Edition):

Sajid, Hasan. “A Universal Background Subtraction System.” 2014. Web. 14 Aug 2020.

Vancouver:

Sajid H. A Universal Background Subtraction System. [Internet] [Masters thesis]. University of Kentucky; 2014. [cited 2020 Aug 14]. Available from: http://uknowledge.uky.edu/ece_etds/47.

Council of Science Editors:

Sajid H. A Universal Background Subtraction System. [Masters Thesis]. University of Kentucky; 2014. Available from: http://uknowledge.uky.edu/ece_etds/47


Rochester Institute of Technology

6. Bowen, Ryan M. Implementation, integration, and optimization of a fuzzy foreground segmentation system.

Degree: MS, Electrical Engineering, 2013, Rochester Institute of Technology

Foreground segmentation is often an important preliminary step for various video processing systems. By improving the accuracy of the foreground segmentation process, the overall… (more)

Subjects/Keywords: Foreground segmentation; Image processing; Net centric; Real coded genetic algorithms; System of systems; System optimization

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APA (6th Edition):

Bowen, R. M. (2013). Implementation, integration, and optimization of a fuzzy foreground segmentation system. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/6955

Chicago Manual of Style (16th Edition):

Bowen, Ryan M. “Implementation, integration, and optimization of a fuzzy foreground segmentation system.” 2013. Masters Thesis, Rochester Institute of Technology. Accessed August 14, 2020. https://scholarworks.rit.edu/theses/6955.

MLA Handbook (7th Edition):

Bowen, Ryan M. “Implementation, integration, and optimization of a fuzzy foreground segmentation system.” 2013. Web. 14 Aug 2020.

Vancouver:

Bowen RM. Implementation, integration, and optimization of a fuzzy foreground segmentation system. [Internet] [Masters thesis]. Rochester Institute of Technology; 2013. [cited 2020 Aug 14]. Available from: https://scholarworks.rit.edu/theses/6955.

Council of Science Editors:

Bowen RM. Implementation, integration, and optimization of a fuzzy foreground segmentation system. [Masters Thesis]. Rochester Institute of Technology; 2013. Available from: https://scholarworks.rit.edu/theses/6955


University of Melbourne

7. Zulkifley, Mohd Asyraf. Topics in robust video analytics.

Degree: 2011, University of Melbourne

 Robustness is one of the main challenges in building good algorithms for video analytics. The ability to maintain accuracy and precision of the algorithm to… (more)

Subjects/Keywords: image and video processing; single and multi-object tracking; foreground/background segmentation; mathematical modelling

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APA (6th Edition):

Zulkifley, M. A. (2011). Topics in robust video analytics. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37350

Chicago Manual of Style (16th Edition):

Zulkifley, Mohd Asyraf. “Topics in robust video analytics.” 2011. Doctoral Dissertation, University of Melbourne. Accessed August 14, 2020. http://hdl.handle.net/11343/37350.

MLA Handbook (7th Edition):

Zulkifley, Mohd Asyraf. “Topics in robust video analytics.” 2011. Web. 14 Aug 2020.

Vancouver:

Zulkifley MA. Topics in robust video analytics. [Internet] [Doctoral dissertation]. University of Melbourne; 2011. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11343/37350.

Council of Science Editors:

Zulkifley MA. Topics in robust video analytics. [Doctoral Dissertation]. University of Melbourne; 2011. Available from: http://hdl.handle.net/11343/37350


Loughborough University

8. Tzanidou, Giounona. Carried baggage detection and recognition in video surveillance with foreground segmentation.

Degree: PhD, 2014, Loughborough University

 Security cameras installed in public spaces or in private organizations continuously record video data with the aim of detecting and preventing crime. For that reason,… (more)

Subjects/Keywords: 006.4; Background modelling; Foreground segmentation; Closed foreground contours; Contour completion; Edge enhancement; Viewing direction estimation; Carried object detection; Carried luggage recognition; Anisotropic diffusion.

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APA (6th Edition):

Tzanidou, G. (2014). Carried baggage detection and recognition in video surveillance with foreground segmentation. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/14989

Chicago Manual of Style (16th Edition):

Tzanidou, Giounona. “Carried baggage detection and recognition in video surveillance with foreground segmentation.” 2014. Doctoral Dissertation, Loughborough University. Accessed August 14, 2020. http://hdl.handle.net/2134/14989.

MLA Handbook (7th Edition):

Tzanidou, Giounona. “Carried baggage detection and recognition in video surveillance with foreground segmentation.” 2014. Web. 14 Aug 2020.

Vancouver:

Tzanidou G. Carried baggage detection and recognition in video surveillance with foreground segmentation. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/2134/14989.

Council of Science Editors:

Tzanidou G. Carried baggage detection and recognition in video surveillance with foreground segmentation. [Doctoral Dissertation]. Loughborough University; 2014. Available from: http://hdl.handle.net/2134/14989


Brno University of Technology

9. Zlotý, Petr. Rozpoznání gest ruky v obraze: Hand gesticulation recognition in image.

Degree: 2018, Brno University of Technology

 This work describes gesticulation recognition analysis and implementation. There was chosen the recognition method based on orientation histograms. This method was enhanced by combining it… (more)

Subjects/Keywords: rozpoznání gest rukou; detekce barvy kůže; počítačové vidění; histogramy orientací; segmentace popředí; hand gesture recognition; skin color detection; computer vision; orientation histograms; foreground segmentation

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APA (6th Edition):

Zlotý, P. (2018). Rozpoznání gest ruky v obraze: Hand gesticulation recognition in image. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/2145

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):

Zlotý, Petr. “Rozpoznání gest ruky v obraze: Hand gesticulation recognition in image.” 2018. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/2145.

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

MLA Handbook (7th Edition):

Zlotý, Petr. “Rozpoznání gest ruky v obraze: Hand gesticulation recognition in image.” 2018. Web. 14 Aug 2020.

Vancouver:

Zlotý P. Rozpoznání gest ruky v obraze: Hand gesticulation recognition in image. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/2145.

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

Council of Science Editors:

Zlotý P. Rozpoznání gest ruky v obraze: Hand gesticulation recognition in image. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/2145

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

10. WANG YANG. Segmenting and tracking objects in video sequences based on graphical probabilistic models.

Degree: 2004, National University of Singapore

Subjects/Keywords: Bayesian network; foreground segmentation; graphical model; Markov random field; multi-object tracking; video segmentation.

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APA (6th Edition):

YANG, W. (2004). Segmenting and tracking objects in video sequences based on graphical probabilistic models. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14343

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):

YANG, WANG. “Segmenting and tracking objects in video sequences based on graphical probabilistic models.” 2004. Thesis, National University of Singapore. Accessed August 14, 2020. http://scholarbank.nus.edu.sg/handle/10635/14343.

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

MLA Handbook (7th Edition):

YANG, WANG. “Segmenting and tracking objects in video sequences based on graphical probabilistic models.” 2004. Web. 14 Aug 2020.

Vancouver:

YANG W. Segmenting and tracking objects in video sequences based on graphical probabilistic models. [Internet] [Thesis]. National University of Singapore; 2004. [cited 2020 Aug 14]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14343.

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

Council of Science Editors:

YANG W. Segmenting and tracking objects in video sequences based on graphical probabilistic models. [Thesis]. National University of Singapore; 2004. Available from: http://scholarbank.nus.edu.sg/handle/10635/14343

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


Brno University of Technology

11. Studený, Petr. Interaktivní segmentace popředí/pozadí na mobilním telefonu: Interactive Foreground/Background Segmentation on Mobile Phone.

Degree: 2018, Brno University of Technology

 This thesis deals with the problem of foreground extraction on mobile devices. The main goal of this project is to find or design segmentation methods… (more)

Subjects/Keywords: Interaktivní segmentace obrazu; mobilní zařízení; nalezení řezu grafem; získání vyhlazené alfa masky; editace obrazu; výřez objektu z obrazu; matematická morfologie.; Interactive image segmentation; mobile devices; graph cut; alpha matting; image editing; foreground extraction; mathematical morphology.

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APA (6th Edition):

Studený, P. (2018). Interaktivní segmentace popředí/pozadí na mobilním telefonu: Interactive Foreground/Background Segmentation on Mobile Phone. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/64075

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):

Studený, Petr. “Interaktivní segmentace popředí/pozadí na mobilním telefonu: Interactive Foreground/Background Segmentation on Mobile Phone.” 2018. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/64075.

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

MLA Handbook (7th Edition):

Studený, Petr. “Interaktivní segmentace popředí/pozadí na mobilním telefonu: Interactive Foreground/Background Segmentation on Mobile Phone.” 2018. Web. 14 Aug 2020.

Vancouver:

Studený P. Interaktivní segmentace popředí/pozadí na mobilním telefonu: Interactive Foreground/Background Segmentation on Mobile Phone. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/64075.

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

Council of Science Editors:

Studený P. Interaktivní segmentace popředí/pozadí na mobilním telefonu: Interactive Foreground/Background Segmentation on Mobile Phone. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/64075

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


Brno University of Technology

12. Láník, Aleš. Detekce výrobků na pásovém dopravníku: Detection of Objects on Belt Conveyer.

Degree: 2018, Brno University of Technology

 In this master thesis, object's detection in image and tracking these objects in temporal area will be presented. First, theoretical background of the image's preprocessing,… (more)

Subjects/Keywords: Detekce objektů v obraze; barevné prostory; morfologické operace; detekce rohů a hran; extrakce popředí; segmentace obrazu; texturní příznaky.; Detection objects in image; color spaces; morphological operations; corner and boundary detection; foreground extraction; image segmentation; texture features.

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APA (6th Edition):

Láník, A. (2018). Detekce výrobků na pásovém dopravníku: Detection of Objects on Belt Conveyer. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53137

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):

Láník, Aleš. “Detekce výrobků na pásovém dopravníku: Detection of Objects on Belt Conveyer.” 2018. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/53137.

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

MLA Handbook (7th Edition):

Láník, Aleš. “Detekce výrobků na pásovém dopravníku: Detection of Objects on Belt Conveyer.” 2018. Web. 14 Aug 2020.

Vancouver:

Láník A. Detekce výrobků na pásovém dopravníku: Detection of Objects on Belt Conveyer. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/53137.

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

Council of Science Editors:

Láník A. Detekce výrobků na pásovém dopravníku: Detection of Objects on Belt Conveyer. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/53137

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


Brno University of Technology

13. Krůpa, Miloslav. REVITALIZACE PŘEDPOLÍ KVĚTNÉ ZAHRADY V KROMĚŘÍŽI: Revitalization Program of Floral Garden in Kromeriz.

Degree: 2018, Brno University of Technology

 This thesis deals with revitalization of Garden’s foreground in Kroměříž (Czech Republic). The aim is to accomplish an optimal development of designed area, especially the… (more)

Subjects/Keywords: Kroměříž; Květná zahrada; park; moderní zahrada; veřejný prostor; předpolí; polygonální členění; železobetonové konstrukce; strukturální zasklení CW50; Kroměříž; Gardens; park; foreground; modern garden; public area; polygonal segmentation; reinforced concrete constructions; CW50 structural glazing

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APA (6th Edition):

Krůpa, M. (2018). REVITALIZACE PŘEDPOLÍ KVĚTNÉ ZAHRADY V KROMĚŘÍŽI: Revitalization Program of Floral Garden in Kromeriz. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/7011

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):

Krůpa, Miloslav. “REVITALIZACE PŘEDPOLÍ KVĚTNÉ ZAHRADY V KROMĚŘÍŽI: Revitalization Program of Floral Garden in Kromeriz.” 2018. Thesis, Brno University of Technology. Accessed August 14, 2020. http://hdl.handle.net/11012/7011.

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

MLA Handbook (7th Edition):

Krůpa, Miloslav. “REVITALIZACE PŘEDPOLÍ KVĚTNÉ ZAHRADY V KROMĚŘÍŽI: Revitalization Program of Floral Garden in Kromeriz.” 2018. Web. 14 Aug 2020.

Vancouver:

Krůpa M. REVITALIZACE PŘEDPOLÍ KVĚTNÉ ZAHRADY V KROMĚŘÍŽI: Revitalization Program of Floral Garden in Kromeriz. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 14]. Available from: http://hdl.handle.net/11012/7011.

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

Council of Science Editors:

Krůpa M. REVITALIZACE PŘEDPOLÍ KVĚTNÉ ZAHRADY V KROMĚŘÍŽI: Revitalization Program of Floral Garden in Kromeriz. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/7011

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

14. Sajid, Hasan. ROBUST BACKGROUND SUBTRACTION FOR MOVING CAMERAS AND THEIR APPLICATIONS IN EGO-VISION SYSTEMS.

Degree: 2016, University of Kentucky

 Background subtraction is the algorithmic process that segments out the region of interest often known as foreground from the background. Extensive literature and numerous algorithms… (more)

Subjects/Keywords: Background Subtraction; Foreground Segmentation; Freely Moving Cameras; Pan-Tilt-Zoom; Ego-motion Compensation; Mega-Pixels; Signal Processing

foreground segmentation. Many different color spaces including RGB, YCbCr, HSV, HSI, lab2000… …suitable color space for foreground segmentation [58][61][59]. Due… …decrease in foreground segmentation accuracy. To address this issue, we propose a solution… …foreground segmentation accuracy. During intermediate lighting conditions, both RGB and YCbCr color… …49 5.2. Motion Segmentation Module… 

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APA (6th Edition):

Sajid, H. (2016). ROBUST BACKGROUND SUBTRACTION FOR MOVING CAMERAS AND THEIR APPLICATIONS IN EGO-VISION SYSTEMS. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/ece_etds/92

Chicago Manual of Style (16th Edition):

Sajid, Hasan. “ROBUST BACKGROUND SUBTRACTION FOR MOVING CAMERAS AND THEIR APPLICATIONS IN EGO-VISION SYSTEMS.” 2016. Doctoral Dissertation, University of Kentucky. Accessed August 14, 2020. https://uknowledge.uky.edu/ece_etds/92.

MLA Handbook (7th Edition):

Sajid, Hasan. “ROBUST BACKGROUND SUBTRACTION FOR MOVING CAMERAS AND THEIR APPLICATIONS IN EGO-VISION SYSTEMS.” 2016. Web. 14 Aug 2020.

Vancouver:

Sajid H. ROBUST BACKGROUND SUBTRACTION FOR MOVING CAMERAS AND THEIR APPLICATIONS IN EGO-VISION SYSTEMS. [Internet] [Doctoral dissertation]. University of Kentucky; 2016. [cited 2020 Aug 14]. Available from: https://uknowledge.uky.edu/ece_etds/92.

Council of Science Editors:

Sajid H. ROBUST BACKGROUND SUBTRACTION FOR MOVING CAMERAS AND THEIR APPLICATIONS IN EGO-VISION SYSTEMS. [Doctoral Dissertation]. University of Kentucky; 2016. Available from: https://uknowledge.uky.edu/ece_etds/92

15. Molin, Joel. Foreground Segmentation of Moving Objects.

Degree: The Institute of Technology, 2010, Linköping UniversityLinköping University

Foreground segmentation is a common first step in tracking and surveillance applications.  The purpose of foreground segmentation is to provide later stages of image… (more)

Subjects/Keywords: Foreground Segmentation; Background Subtraction; Gaussian Mixture Models; Codebook; Tracking; Shadow Detection; Auto Exposure; Computer Vision and Robotics (Autonomous Systems); Datorseende och robotik (autonoma system)

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

APA (6th Edition):

Molin, J. (2010). Foreground Segmentation of Moving Objects. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-52544

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):

Molin, Joel. “Foreground Segmentation of Moving Objects.” 2010. Thesis, Linköping UniversityLinköping University. Accessed August 14, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-52544.

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

MLA Handbook (7th Edition):

Molin, Joel. “Foreground Segmentation of Moving Objects.” 2010. Web. 14 Aug 2020.

Vancouver:

Molin J. Foreground Segmentation of Moving Objects. [Internet] [Thesis]. Linköping UniversityLinköping University; 2010. [cited 2020 Aug 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-52544.

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

Council of Science Editors:

Molin J. Foreground Segmentation of Moving Objects. [Thesis]. Linköping UniversityLinköping University; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-52544

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

.