subject:(R vision)

Brno University of Technology

1. Vostřel, Tomáš. Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/189288

► The diploma thesis deals with the usage of integrated machine vision by B&R, Smart Sensor, for metal rectangular-shaped workpiece recognition and position determinition. The description… (more)

Subjects/Keywords: strojové vidění; rozpoznávání obrobků; B&R; Smart Sensor; Blob analýza; B&R Automation; Automation Studio; machine vision; workpiece recognition; B&R; Smart Sensor; Blob analysis; B&R Automation; Automation Studio

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Vostřel, T. (2020). Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189288

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

Chicago Manual of Style (16^th Edition):

Vostřel, Tomáš. “Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition.” 2020. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/189288.

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

MLA Handbook (7^th Edition):

Vostřel, Tomáš. “Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition.” 2020. Web. 28 Jan 2021.

Vancouver:

Vostřel T. Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/189288.

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

Council of Science Editors:

Vostřel T. Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189288

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

University of Illinois – Urbana-Champaign

2. Li, Xing. Computer vision based corn kernel quality evaluation: Traditional versus machine learning.

Degree: MS, Electrical Engineering, 2018, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/101131

► Corn kernel quality evaluation is a trivial task for experienced farmers and agriculture researchers, but it becomes tricky if we try to develop a computer… (more)

Subjects/Keywords: Computer Vision; Corn Kernel Quality; Machine Learning; Fast R-CNN; RPN; Faster R-CNN; FPN; Retinanet.

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Li, X. (2018). Computer vision based corn kernel quality evaluation: Traditional versus machine learning. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101131

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

Chicago Manual of Style (16^th Edition):

Li, Xing. “Computer vision based corn kernel quality evaluation: Traditional versus machine learning.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed January 28, 2021. http://hdl.handle.net/2142/101131.

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

MLA Handbook (7^th Edition):

Li, Xing. “Computer vision based corn kernel quality evaluation: Traditional versus machine learning.” 2018. Web. 28 Jan 2021.

Vancouver:

Li X. Computer vision based corn kernel quality evaluation: Traditional versus machine learning. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/2142/101131.

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

Council of Science Editors:

Li X. Computer vision based corn kernel quality evaluation: Traditional versus machine learning. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101131

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

North Carolina State University

3. Rajyaguru, Sameer Rajendra. Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments.

Degree: MS, Computer Science, 2003, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/1247

► Cognitive models have typically dealt with artificial environments or real environments that are simple. This is because the cognitive models either use indirect approaches to… (more)

Subjects/Keywords: computer vision; image processing; cognitive models; ACT-R; vision

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Rajyaguru, S. R. (2003). Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/1247

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

Chicago Manual of Style (16^th Edition):

Rajyaguru, Sameer Rajendra. “Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments.” 2003. Thesis, North Carolina State University. Accessed January 28, 2021. http://www.lib.ncsu.edu/resolver/1840.16/1247.

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

MLA Handbook (7^th Edition):

Rajyaguru, Sameer Rajendra. “Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments.” 2003. Web. 28 Jan 2021.

Vancouver:

Rajyaguru SR. Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments. [Internet] [Thesis]. North Carolina State University; 2003. [cited 2021 Jan 28]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1247.

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

Council of Science Editors:

Rajyaguru SR. Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments. [Thesis]. North Carolina State University; 2003. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1247

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

4. Brageot, Emily. Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices.

Degree: Docteur es, Instrumentation, 2012, Aix Marseille Université

URL: http://www.theses.fr/2012AIXM4726

►

Les micro-bolomètres non-refroidis bénéficient de développements technologiques récents qui se traduisent par des matrices de plus en plus grandes (1024*768 pixels), pour des pixels de… (more)

▼

Les micro-bolomètres non-refroidis bénéficient de développements technologiques récents qui se traduisent par des matrices de plus en plus grandes (1024*768 pixels), pour des pixels de plus en plus petits (17 µm) et de plus en plus sensibles bien que non-refroidis (NETD<60 mK @300 K). L'objectif de cette thèse est d'étudier les détecteurs micro-bolométriques non-refroidis afin de tester leurs capacités en imagerie et en spectroscopie en vue de leur utilisation dans le cadre d'une mission spatiale vers les petits corps du système solaire, dont en particulier la mission Marco Polo R. J'ai étudié le fonctionnement de ces détecteurs en prenant pour exemple le détecteur Nano640Etm de la société Ulis, représentatif de la technologie des micro-bolomètres non-refroidis disponible actuellement. J'ai mesuré la stabilité dans le temps de son signal, l'homogénéité de la matrice du détecteur, et l'influence de différents paramètres de fonctionnement (température du plan focal, temps d'intégration des pixels, gain). La réponse du détecteur est linéaire en fonction de la température de scène à la puissance 4. Les résultats de cette caractérisation m'ont permis de mesurer le NETD du détecteur dans le cadre de cette expérience. J'ai ensuite testé les capacités du détecteur Nano640Etm en imagerie radiométrique calibrée afin d'estimer les erreurs maximales de calibration pour un, deux, ou trois points de calibration placés différemment dans la gamme de température observée

The recent progress of the uncooled micro-bolometer technology has lead to larger detector matrices (1024*768 pixels), with smaller pixel sizes (17 µm) and a higher sensitivity although it is an uncooled technology (NETD<60 mK @300 K). The objective of this thesis is to study uncooled micro-bolometer detectors in order to assess their performance for imagery and spectroscopy within the framework of a space mission towards small bodies of the solar system, including the Marco Polo R mission. I have studied these detectors through the example of the Nano640Etm detector of the Ulis society, which represents well the currently available uncooled micro-bolometer technology. I have measured its signal stability through time, the detector's matrix homogeneity, and the influence of various operating parameters (focal plane temperature, integration time of the pixels, gain). The detector's response is linear as a function of the scene temperature to the power of 4. The results of this characterization allowed me to measure the detector's NETD within this experiment. Then, I tested the Nano640Etm detector's ability to perform calibrated radiometric images in order to estimate the maximum calibration error for one, two, or three calibration points chosen differently within the observed temperature range. Lastly, I assessed the detector's performances for dispersive spectroscopic measurements, using its signal to noise ratio, as a function of the observation wavelength, the scene temperature, and the spectral resolution. The results of these tests are very positive.

Advisors/Committee Members: Groussin, Olivier (thesis director), Lamy, Philippe (thesis director).

Subjects/Keywords: Infrarouge; Spectro-imageur; Microbolomètre; Marco-Polo R; Système solaire; Esa; Cosmic Vision; Mid-Infrared; Spectro-Imager; Microbolometer; Marco-Polo R; Solar System; Esa; Cosmic Vision

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Brageot, E. (2012). Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2012AIXM4726

Chicago Manual of Style (16^th Edition):

Brageot, Emily. “Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices.” 2012. Doctoral Dissertation, Aix Marseille Université. Accessed January 28, 2021. http://www.theses.fr/2012AIXM4726.

MLA Handbook (7^th Edition):

Brageot, Emily. “Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices.” 2012. Web. 28 Jan 2021.

Vancouver:

Brageot E. Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices. [Internet] [Doctoral dissertation]. Aix Marseille Université 2012. [cited 2021 Jan 28]. Available from: http://www.theses.fr/2012AIXM4726.

Council of Science Editors:

Brageot E. Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices. [Doctoral Dissertation]. Aix Marseille Université 2012. Available from: http://www.theses.fr/2012AIXM4726

University of Toronto

5. Bose, Avishek. Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization.

Degree: 2018, University of Toronto

URL: http://hdl.handle.net/1807/91439

►

Adversarial attacks involve adding, small, often imperceptible, perturbations to inputs with the goal of getting a machine learning model to misclassifying them. While many different… (more)

Subjects/Keywords: Adversarial Attacks; Computer Vision; Face Detection; Faster R-CNN; Machine Learning; Neural Networks; 0800

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Bose, A. (2018). Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91439

Chicago Manual of Style (16^th Edition):

Bose, Avishek. “Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization.” 2018. Masters Thesis, University of Toronto. Accessed January 28, 2021. http://hdl.handle.net/1807/91439.

MLA Handbook (7^th Edition):

Bose, Avishek. “Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization.” 2018. Web. 28 Jan 2021.

Vancouver:

Bose A. Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/1807/91439.

Council of Science Editors:

Bose A. Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91439

KTH

6. Grip, Linnea. Vision based indoor object detection for a drone.

Degree: Computer Science and Communication (CSC), 2017, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208890

►

Drones are a very active area of research and object detection is a crucial part in achieving full autonomy of any robot. We investigated… (more)

Subjects/Keywords: drone; uav; computer vision; object detection; robot; r-fcn; indoor; Computer Sciences; Datavetenskap (datalogi)

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Grip, L. (2017). Vision based indoor object detection for a drone. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208890

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

Chicago Manual of Style (16^th Edition):

Grip, Linnea. “Vision based indoor object detection for a drone.” 2017. Thesis, KTH. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208890.

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

MLA Handbook (7^th Edition):

Grip, Linnea. “Vision based indoor object detection for a drone.” 2017. Web. 28 Jan 2021.

Vancouver:

Grip L. Vision based indoor object detection for a drone. [Internet] [Thesis]. KTH; 2017. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208890.

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

Council of Science Editors:

Grip L. Vision based indoor object detection for a drone. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208890

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

Uppsala University

7. Eklund, Anton. Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing.

Degree: Information Technology, 2020, Uppsala University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415371

► Parsing floorplans have been a problem in automatic document analysis for long and have up until recent years been approached with algorithmic methods. With… (more)

Subjects/Keywords: mask r-cnn; cascade r-cnn; cascade mask r-cnn; floorplan; floorplans; computer vision; CNN; convolutional neural networks; Engineering and Technology; Teknik och teknologier

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Eklund, A. (2020). Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415371

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

Chicago Manual of Style (16^th Edition):

Eklund, Anton. “Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing.” 2020. Thesis, Uppsala University. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415371.

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

MLA Handbook (7^th Edition):

Eklund, Anton. “Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing.” 2020. Web. 28 Jan 2021.

Vancouver:

Eklund A. Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing. [Internet] [Thesis]. Uppsala University; 2020. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415371.

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

Council of Science Editors:

Eklund A. Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing. [Thesis]. Uppsala University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415371

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

Linköping University

8. Grönlund, Jakob. Defect Detection and OCR on Steel.

Degree: Computer Vision, 2019, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157508

► In large scale productions of metal sheets, it is important to maintain an effective way to continuously inspect the products passing through the production… (more)

Subjects/Keywords: Defect detection; OCR; Convolutional Autoencoder; Faster R-CNN; Computer Vision and Robotics (Autonomous Systems); Datorseende och robotik (autonoma system)

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Grönlund, J. (2019). Defect Detection and OCR on Steel. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157508

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

Chicago Manual of Style (16^th Edition):

Grönlund, Jakob. “Defect Detection and OCR on Steel.” 2019. Thesis, Linköping University. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157508.

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

MLA Handbook (7^th Edition):

Grönlund, Jakob. “Defect Detection and OCR on Steel.” 2019. Web. 28 Jan 2021.

Vancouver:

Grönlund J. Defect Detection and OCR on Steel. [Internet] [Thesis]. Linköping University; 2019. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157508.

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

Council of Science Editors:

Grönlund J. Defect Detection and OCR on Steel. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157508

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

Linköping University

9. Torén, Rickard. Comparing CNN methods for detection and tracking of ships in satellite images.

Degree: Computer and Information Science, 2020, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167163

► Knowing where ships are located is a key factor to support safe maritime transports, harbor management as well as preventing accidents and illegal activities… (more)

Subjects/Keywords: Faster R-CNN; SSD; FPN; object detection; tracking; AIS; ship; satellite image; Computer Vision and Robotics (Autonomous Systems); Datorseende och robotik (autonoma system)

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Torén, R. (2020). Comparing CNN methods for detection and tracking of ships in satellite images. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167163

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

Chicago Manual of Style (16^th Edition):

Torén, Rickard. “Comparing CNN methods for detection and tracking of ships in satellite images.” 2020. Thesis, Linköping University. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167163.

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

MLA Handbook (7^th Edition):

Torén, Rickard. “Comparing CNN methods for detection and tracking of ships in satellite images.” 2020. Web. 28 Jan 2021.

Vancouver:

Torén R. Comparing CNN methods for detection and tracking of ships in satellite images. [Internet] [Thesis]. Linköping University; 2020. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167163.

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

Council of Science Editors:

Torén R. Comparing CNN methods for detection and tracking of ships in satellite images. [Thesis]. Linköping University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167163

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

University of Georgia

10. Luo, Xingzhi. Stochastic models for object tracking, background modeling and their applications.

Degree: 2014, University of Georgia

URL: http://hdl.handle.net/10724/23451

► Object tracking in streaming videos is an important research topic in computer vision. In this dissertation three topics in object tracking are covered: the background… (more)

▼ Object tracking in streaming videos is an important research topic in computer vision. In this dissertation three topics in object tracking are covered: the background modeling based foreground object detection, the multiple object tracking models and an application of the tracking algorithm in a computer vision based lumber planning system. Background maintenance is the base of most video surveillance systems. A three level background model is proposed to tackle the problems exiting in a common surveillance system. At the pixel level, several novel background models are proposed and compared with the existing background models based on the mixture of Gaussian algorithm (parametric model) and the existing nonparametric background models. The proposed parametric background model is capable of handling the sleeping person problem and the shadow problem by using a novel weighting scheme and HSV color space. At the global level, multiple background models are maintained to represent the multiple states of the background. A fast classification algorithm based on a pyramid histogram is proposed to automatically classify each frame into the nearest background model. At the semantic level, an efficient algorithm is proposed to detect unattended objects (UAO). The proposed multiple object tracking system integrates object detection and tracking in one framework. A general solution that incorporates the most recent observation in the proposal distribution is proposed using an optical flow algorithm based on multiscale elastic matching. This solution does not rely on a measurement function as required in the Kalman particle filtering algorithm, neither does it need an auxiliary tracker as in ICONDENSATION, hence is more general and easier to be incorporated in a tracking system. A novel shape model is proposed based on a kernel-based line segment matching algorithm, which incorporates a voting scheme similar to the Radon Transform and is shown to be robust in the presence of partial occlusion. The integral image and the union set operator is combined together to corporate with the efficient computation of the region likelihood. The sampling algorithm is also improved by the incorporation of a Genetic Algorithm (GA). The integration of the detection procedure with the tracking algorithm is also proposed and tested in a face tracking scenario. As an example of the applications of multiple object tracking algorithms, an automated lumber defect detection and product planing system is presented in this dissertation, in which kalman filtering algorithm is employed to track the detected defects and construct the 3D defect models for logs.

Subjects/Keywords: Object tracking in streaming videos is an important research topic in computer vision. In\r this dissertation three topics in object tracking are covered: the background modeling based\r foreground object detection; the multiple object tracking models and

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Luo, X. (2014). Stochastic models for object tracking, background modeling and their applications. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/23451

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

Chicago Manual of Style (16^th Edition):

Luo, Xingzhi. “Stochastic models for object tracking, background modeling and their applications.” 2014. Thesis, University of Georgia. Accessed January 28, 2021. http://hdl.handle.net/10724/23451.

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

MLA Handbook (7^th Edition):

Luo, Xingzhi. “Stochastic models for object tracking, background modeling and their applications.” 2014. Web. 28 Jan 2021.

Vancouver:

Luo X. Stochastic models for object tracking, background modeling and their applications. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10724/23451.

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

Council of Science Editors:

Luo X. Stochastic models for object tracking, background modeling and their applications. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/23451

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

Brno University of Technology

11. Voronin, Artyom. Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/179338

► This thesis introduces the issue of data classification in the image using tools for machine learning in Python. The aim is to verify the possibilities… (more)

Subjects/Keywords: Python; Strojově učení; Hloubkově učení; Konvoluční neuronové sítě; Faster-R-CNN; SSD-Mobilenet; YOLO; Tensorflow; Počítačová vize; OpenCV; Mechatronika; Python; Machine Learning; Deep Learning; Convolution Neural Networks; Faster-R-CNN; SSD-Mobilenet; YOLO; Tensorflow; Computer vision; OpenCV; Mechatronics

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Voronin, A. (2019). Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/179338

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

Chicago Manual of Style (16^th Edition):

Voronin, Artyom. “Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python.” 2019. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/179338.

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

MLA Handbook (7^th Edition):

Voronin, Artyom. “Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python.” 2019. Web. 28 Jan 2021.

Vancouver:

Voronin A. Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/179338.

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

Council of Science Editors:

Voronin A. Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/179338

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

Brno University of Technology

12. Mareček, Petr. Robotický stolní fotbal: Robotic Table Football.

Degree: 2018, Brno University of Technology

URL: http://hdl.handle.net/11012/60854

► The aim of this diploma thesis is the design of robotic table football with the realization of the construction and control a single axis of… (more)

Subjects/Keywords: Stolní fotbal; B&R; LinMot®; lineární motor; ACOPOSmicro; Automation Studio; průmyslové vidění; COGNEX; bezpečnostní optická mříž; DATALOGIC.; Table Football; B&R; LinMot®; linear motor; ACOPOSmicro; Automation Studio; industrial vision; CONGEX; safety light curtain; DATALOGIC.

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Mareček, P. (2018). Robotický stolní fotbal: Robotic Table Football. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/60854

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

Chicago Manual of Style (16^th Edition):

Mareček, Petr. “Robotický stolní fotbal: Robotic Table Football.” 2018. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/60854.

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

MLA Handbook (7^th Edition):

Mareček, Petr. “Robotický stolní fotbal: Robotic Table Football.” 2018. Web. 28 Jan 2021.

Vancouver:

Mareček P. Robotický stolní fotbal: Robotic Table Football. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/60854.

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

Council of Science Editors:

Mareček P. Robotický stolní fotbal: Robotic Table Football. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/60854

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

13. Chaabouni, Souad. Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases.

Degree: Docteur es, Informatique, 2017, Bordeaux; Université de Sfax (Tunisie)

URL: http://www.theses.fr/2017BORD0768

►

Cette thèse est motivée par le diagnostic et l’évaluation des maladies neuro-dégénératives et dans le but de diagnostique sur la base de l’attention visuelle.Néanmoins, le… (more)

▼

Cette thèse est motivée par le diagnostic et l’évaluation des maladies neuro-dégénératives et dans le but de diagnostique sur la base de l’attention visuelle.Néanmoins, le dépistage à grande échelle de la population n’est possible que si des modèles de prédiction automatique suffisamment robustes peuvent être construits. Dans ce contexte nous nous intéressons `a la conception et le développement des modèles de prédiction automatique pour un contenu visuel spécifique à utiliser dans l’expérience psycho-visuelle impliquant des patients atteints des maladies neuro-dégénératives. La difficulté d’une telle prédiction réside dans une très faible quantité de données d’entraînement. Les modèles de saillance visuelle ne peuvent pas être fondés sur les caractérisitiques “bottom-up” uniquement, comme le suggère la théorie de l’intégration des caractéristiques. La composante “top-down” de l’attention visuelle humaine devient prépondérante au fur et à mesure d’observation de la scène visuelle. L’attention visuelle peut-être prédite en se basant sur les scènes déjà observées. Les réseaux de convolution profonds (CNN) se sont révèlés être un outil puissant pour prédire les zones saillantes dans les images statiques.Dans le but de construire un modèle de prédiction automatique pour les zones saillantes dans les vidéos naturels et intentionnellement dégradées, nous avons conçu une architecture spécifique de CNN profond. Pour surmonter le manque de données d’apprentissage,nous avons conçu un système d’apprentissage par transfert dérivé de la méthode de Bengio.Nous mesurons ses performances lors de la prédiction de régions saillantes. Les r´esultatsobtenus sont int´eressants concernant la r´eaction des sujets t´emoins normaux contre leszones d´egrad´ees dans les vid´eos. La comparaison de la carte de saillance pr´edite des vid´eosintentionnellement d´egrad´ees avec des cartes de densit´e de fixation du regard et d’autresmod`eles de r´ef´erence montre l’int´erˆet du mod`ele d´evelopp´e.

This thesis is motivated by the diagnosis and the evaluation of the dementia diseasesand with the aim of predicting if a new recorded gaze presents a complaint of thesediseases. Nevertheless, large-scale population screening is only possible if robust predictionmodels can be constructed. In this context, we are interested in the design and thedevelopment of automatic prediction models for specific visual content to be used in thepsycho-visual experience involving patients with dementia (PwD). The difficulty of sucha prediction lies in a very small amount of training data.Visual saliency models cannot be founded only on bottom-up features, as suggested byfeature integration theory. The top-down component of human visual attention becomesprevalent as human observers explore the visual scene. Visual saliency can be predictedon the basis of seen data. Deep Convolutional Neural Networks (CNN) have proven tobe a powerful tool for prediction of salient areas in static images. In order to constructan automatic prediction model for the salient areas in natural…

Advisors/Committee Members: Benois Pineau, Jenny (thesis director), Ben Amar, Chokri (thesis director).

Subjects/Keywords: R´eseaux de convolution profond; Apprentissage par transfert; Vi- sion par ordinateur; Modèle de saillance; Attention visuelle; Maladies neuro- dégénératives; Mouvement r´esiduel,; Mouvement r´esiduel, vid´eos naturels; Deep convolutional networks; Transfer learning; Computer vision; Saliency models; Visual attention; Neuro-degenerative diseases; Residual mo- tion; Natural videos

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Chaabouni, S. (2017). Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases. (Doctoral Dissertation). Bordeaux; Université de Sfax (Tunisie). Retrieved from http://www.theses.fr/2017BORD0768

Chicago Manual of Style (16^th Edition):

Chaabouni, Souad. “Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases.” 2017. Doctoral Dissertation, Bordeaux; Université de Sfax (Tunisie). Accessed January 28, 2021. http://www.theses.fr/2017BORD0768.

MLA Handbook (7^th Edition):

Chaabouni, Souad. “Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases.” 2017. Web. 28 Jan 2021.

Vancouver:

Chaabouni S. Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases. [Internet] [Doctoral dissertation]. Bordeaux; Université de Sfax (Tunisie); 2017. [cited 2021 Jan 28]. Available from: http://www.theses.fr/2017BORD0768.

Council of Science Editors:

Chaabouni S. Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases. [Doctoral Dissertation]. Bordeaux; Université de Sfax (Tunisie); 2017. Available from: http://www.theses.fr/2017BORD0768

Brno University of Technology

14. Jasovský, Filip. Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data.

Degree: 2018, Brno University of Technology

URL: http://hdl.handle.net/11012/9693

► This thesis deals with feature extraction and classification of image data in programming environment of Rapidminer. The theoretical part of this thesis describes the function… (more)

Subjects/Keywords: [1] BURGET; R.; DONGMEI; F. Identification of Sky Area in ImagesAccording to Low Level Features. In 6th International Conference on Teleinformatics - ICT 2011. 2011. ISBN: 978-80-214-4231- 3. [2] ZUKAL; M.; ČÍKA; P.; BURGET; R. Evaluation of Interest Point Detectors for Scenes with Changing Lightening Conditions. In 34th International Conference on Telecommunications and Signal Processing (TSP 2011). 2011. s. 579-583. ISBN: 978-1-4577-1409- 2. Počítačové vidění; zpracování obrazu; vyhodnocování dat; základní obrazové operace; odstranění šumu; předzpracování obrazu; segmentace; popis obrazu; klasifikace obrazových dat; extrakce příznaků; Computer vision; image processing; evalauting of data; basic image operations; denoising; image preprocessing; segmentation; description of the image; classification of the image; feature extraction

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Jasovský, F. (2018). Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/9693

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

Chicago Manual of Style (16^th Edition):

Jasovský, Filip. “Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data.” 2018. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/9693.

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

MLA Handbook (7^th Edition):

Jasovský, Filip. “Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data.” 2018. Web. 28 Jan 2021.

Vancouver:

Jasovský F. Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/9693.

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

Council of Science Editors:

Jasovský F. Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/9693

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

15. Rexhaj, Kastriot. Machine visual feedback through CNN detectors : Mobile object detection for industrial application.

Degree: Electronics Design, 2019, Mid Sweden University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36467

►

This paper concerns itself with object detection as a possible solution to Valmet’s quest for a visual-feedback system that can help operators and other… (more)

▼

This paper concerns itself with object detection as a possible solution to Valmet’s quest for a visual-feedback system that can help operators and other personnel to more easily interact with their machines and equipment. New advancements in deep learning, specifically CNN models, have been exploring neural networks with detection-capabilities. Object detection has historically been mostly inaccessible to the industry due the complex solutions involving various tricky image processing algorithms. In that regard, deep learning offers a more easily accessible way to create scalable object detection solutions. This study has therefore chosen to review recent literature detailing detection models with a selective focus on factors making them realizable on ARM hardware and in turn mobile devices like phones. An attempt was made to single out the most lightweight and hardware efficient model and implement it as a prototype in order to help Valmet in their decision process around future object detection products. The survey led to the choice of a SSD-MobileNetsV2 detection architecture due to promising characteristics making it suitable for performance-constrained smartphones. This CNN model was implemented on Valmet’s phone of choice, Samsung Galaxy S8, and it successfully achieved object detection functionality. Evaluation shows a mean average precision of 60 % in detecting objects and a 4.7 FPS performance on the chosen phone model. TensorFlow was used for developing, training and evaluating the model. The report concludes with recommending Valmet to pursue solutions built on-top of these kinds of models and further wishes to express an optimistic outlook on this type of technology for the future. Realizing performance of this magnitude on a mid-tier phone using deep learning (which historically is very computationally intensive) sets us up for great strides with this type of technology in the future; and along with better smartphones, great benefits are expected to both industry and consumers.

Den här rapporten behandlar objekt detektering som en möjlig lösning på Valmets efterfrågan av ett visuellt återkopplingssystem som kan hjälpa operatörer och annan personal att lättare interagera med maskiner och utrustning. Nya framsteg inom djupinlärning har dem senaste åren möjliggjort framtagande av neurala nätverksarkitekturer med detekteringsförmågor. Då industrisektorn svårare tar till sig högst specialiserade algoritmer och komplexa bildbehandlingsmetoder (som tidigare varit fallet med objekt detektering) så ger djupinlärningsmetoder istället upphov till att skapa självlärande system som är återanpassningsbara och närmast intuitiva i dem fall där sådan teknologi åberopas. Den här studien har därför valt att studera ett par sådana teknologier för att hitta möjliga implementeringar som kan realiseras på något så enkelt som en mobiltelefon. Urvalet har därför bestått i att hitta detekteringsmodeller som är hårdvarumässigt resurssnåla och implementera ett sådant system för att agera prototyp och underlag…

Subjects/Keywords: Object detection; CNN; SSD; Faster R-CNN; YOLO; TensorFlow; ARM; Android; Deep learning; Machine vision.; Other Electrical Engineering, Electronic Engineering, Information Engineering; Annan elektroteknik och elektronik

…problems where deep learning shines. Any problem where human vision and its inherent object… …taking place. The university has touched upon both machine vision and machine learning in… …next. 3.1 R-CNN The first attempt at incorporating CNN for an object detection problem was… …proposed by Girschick et al. in 2014[20]. The method proposed was called R-CNN and can… …feature vectors. The third modus operandi of R-CNN is a layer of Support Vector Machines (…

10 more images…

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Rexhaj, K. (2019). Machine visual feedback through CNN detectors : Mobile object detection for industrial application. (Thesis). Mid Sweden University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36467

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

Chicago Manual of Style (16^th Edition):

Rexhaj, Kastriot. “Machine visual feedback through CNN detectors : Mobile object detection for industrial application.” 2019. Thesis, Mid Sweden University. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36467.

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

MLA Handbook (7^th Edition):

Rexhaj, Kastriot. “Machine visual feedback through CNN detectors : Mobile object detection for industrial application.” 2019. Web. 28 Jan 2021.

Vancouver:

Rexhaj K. Machine visual feedback through CNN detectors : Mobile object detection for industrial application. [Internet] [Thesis]. Mid Sweden University; 2019. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36467.

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

Council of Science Editors:

Rexhaj K. Machine visual feedback through CNN detectors : Mobile object detection for industrial application. [Thesis]. Mid Sweden University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36467

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

16. Grossman, Mikael. Proposal networks in object detection.

Degree: Mathematical Statistics, 2019, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918

►

Locating and extracting useful data from images is a task that has been revolutionized in the last decade as computing power has risen to… (more)

▼

Locating and extracting useful data from images is a task that has been revolutionized in the last decade as computing power has risen to such a level to use deep neural networks with success. A type of neural network that uses the convolutional operation called convolutional neural network (CNN) is suited for image related tasks. Using the convolution operation creates opportunities for the network to learn their own ﬁlters, that previously had to be hand engineered. For locating objects in an image the state-of-the-art Faster R-CNN model predicts objects in two parts. Firstly, the region proposal network (RPN) extracts regions from the picture where it is likely to ﬁnd an object. Secondly, a detector veriﬁes the likelihood of an object being in that region.For this thesis, we review the current literature on artiﬁcial neural networks, object detection methods, proposal methods and present our new way of generating proposals. By replacing the RPN with our network, the multiscale proposal network (MPN), we increase the average precision (AP) with 12% and reduce the computation time per image by 10%.

Lokalisering av användbar data från bilder är något som har revolutionerats under det senaste decenniet när datorkraften har ökat till en nivå då man kan använda artiﬁciella neurala nätverk i praktiken. En typ av ett neuralt nätverk som använder faltning passar utmärkt till bilder eftersom det ger möjlighet för nätverket att skapa sina egna ﬁlter som tidigare skapades för hand. För lokalisering av objekt i bilder används huvudsakligen Faster R-CNN arkitekturen. Den fungerar i två steg, först skapar RPN boxar som innehåller regioner där nätverket tror det är störst sannolikhet att hitta ett objekt. Sedan är det en detektor som veriﬁerar om boxen är på ett objekt .I denna uppsats går vi igenom den nuvarande litteraturen i artiﬁciella neurala nätverk, objektdektektering, förslags metoder och presenterar ett nytt förslag att generera förslag på regioner. Vi visar att genom att byta ut RPN med vår metod (MPN) ökar vi precisionen med 12% och reducerar tiden med 10%.

Subjects/Keywords: Deep learning; Machine learning; Computer vision; Applied mathematics; Statistics; Artiﬁcial Neural Networks; Object detection; Faster R-CNN; RPN; Proposal Network; Maskininlärning; Neurala nätverk; Objektdetektering; Tillämpad matematik; Matematisk statistik; RPN; Förslags nätverk; Probability Theory and Statistics; Sannolikhetsteori och statistik

…Neural Network R-CNN Regions with Convolutional Neural Network features FC Fully Connected… …2.3.3 Preventing overfitting . . . . . . . . 2.4 Computer vision… …Previous object detection methods . . . . 3.3.1 Regions with Convolutional Neural 3.3.2 Fast R… …CNN . . . . . . . . . . . . 3.4 Modern two-stage detectors . . . . . . . . 3.4.1 Faster R… …Features (R-CNN)…

10 more images…

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Grossman, M. (2019). Proposal networks in object detection. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918

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

Chicago Manual of Style (16^th Edition):

Grossman, Mikael. “Proposal networks in object detection.” 2019. Thesis, KTH. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918.

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

MLA Handbook (7^th Edition):

Grossman, Mikael. “Proposal networks in object detection.” 2019. Web. 28 Jan 2021.

Vancouver:

Grossman M. Proposal networks in object detection. [Internet] [Thesis]. KTH; 2019. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918.

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

Council of Science Editors:

Grossman M. Proposal networks in object detection. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918

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

17. Shakeel, Amlaan. Service robot for the visually impaired: Providing navigational assistance using Deep Learning.

Degree: MS, Computational Science and Engineering, 2017, Miami University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=miami1500647716257366

► Assistive technology helps improve the day to day activities for people with disabilities. One of the methods utilized by assistive technologists employs the use of… (more)

Subjects/Keywords: Electrical Engineering; Robotics; Computer Science; Assistive technology; Deep learning; Robotics; Indoor navigation; Computer vision; Robot Operating System; ROS; Caffe; Faster R-CNN; Convolutional Neural Networks; CNN; Microsoft Kinect; Service robots; visually impaired; mobility; depth perception

…communicate with the TurtleBot and integrate Faster R-CNN into computer vision pipeline. 17 4.3… …Computer vision pipeline using Faster R-CNN Due to the low resolution of the RGB camera on the… …technologies required to achieve autonomy, such as computer vision and depth perception, are… …Global Positioning System (GPS), but often relies on computer vision and depth… …capable of autonomous indoor navigation in an unfamiliar environment using computer vision to…

11 more images…

Record Details Similar Records Cite « Share

❌

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

APA (6^th Edition):

Shakeel, A. (2017). Service robot for the visually impaired: Providing navigational assistance using Deep Learning. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1500647716257366

Chicago Manual of Style (16^th Edition):

Shakeel, Amlaan. “Service robot for the visually impaired: Providing navigational assistance using Deep Learning.” 2017. Masters Thesis, Miami University. Accessed January 28, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1500647716257366.

MLA Handbook (7^th Edition):

Shakeel, Amlaan. “Service robot for the visually impaired: Providing navigational assistance using Deep Learning.” 2017. Web. 28 Jan 2021.

Vancouver:

Shakeel A. Service robot for the visually impaired: Providing navigational assistance using Deep Learning. [Internet] [Masters thesis]. Miami University; 2017. [cited 2021 Jan 28]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1500647716257366.

Council of Science Editors:

Shakeel A. Service robot for the visually impaired: Providing navigational assistance using Deep Learning. [Masters Thesis]. Miami University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1500647716257366

		in
And / Or
		in
And / Or
		in
And / Or
		in

Open Access Theses and Dissertations