Stereo Vision Tracking System

Target tracking has become an area of interest in recent years. Target tracking is able to widen the perspective and view of the static camera to track a target, providing basic artificial intelligence features for robots, and serve as the platform for surveillance purpose. A tracking system is limi...

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Main Authors: Lee, Chong Wan, Sebastian , Patrick, Yap, Vooi Voon
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/865/
http://scholars.utp.edu.my/id/eprint/865/1/PID813539_%282%29-new.pdf
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author Lee, Chong Wan
Sebastian , Patrick
Yap, Vooi Voon
author_facet Lee, Chong Wan
Sebastian , Patrick
Yap, Vooi Voon
author_sort Lee, Chong Wan
building UTP Institutional Repository
collection Online Access
description Target tracking has become an area of interest in recent years. Target tracking is able to widen the perspective and view of the static camera to track a target, providing basic artificial intelligence features for robots, and serve as the platform for surveillance purpose. A tracking system is limited to a monocular vision which limits much of the information that is available in an image compared to a binocular or stereo vision. Among the advantages of stereo vision is 3D modeling of scene and depth estimation. In this work, an initial development study and implementation of stereo vision tracking system was done. In developing the stereo vision tracking system, a tracking algorithm was developed together with a depth estimation method to take advantage of the images obtained from having images from two cameras. The depth estimation was found to be 80% accurate for objects at a distance of 15 cm to 65 cm from the cameras.
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institution Universiti Teknologi Petronas
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language English
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spelling oai:scholars.utp.edu.my:8652017-01-19T08:25:25Z http://scholars.utp.edu.my/id/eprint/865/ Stereo Vision Tracking System Lee, Chong Wan Sebastian , Patrick Yap, Vooi Voon TK Electrical engineering. Electronics Nuclear engineering Target tracking has become an area of interest in recent years. Target tracking is able to widen the perspective and view of the static camera to track a target, providing basic artificial intelligence features for robots, and serve as the platform for surveillance purpose. A tracking system is limited to a monocular vision which limits much of the information that is available in an image compared to a binocular or stereo vision. Among the advantages of stereo vision is 3D modeling of scene and depth estimation. In this work, an initial development study and implementation of stereo vision tracking system was done. In developing the stereo vision tracking system, a tracking algorithm was developed together with a depth estimation method to take advantage of the images obtained from having images from two cameras. The depth estimation was found to be 80% accurate for objects at a distance of 15 cm to 65 cm from the cameras. 2009-04-03 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/865/1/PID813539_%282%29-new.pdf Lee, Chong Wan and Sebastian , Patrick and Yap, Vooi Voon (2009) Stereo Vision Tracking System. In: International Conference on Future Computer and Communication 2009 (ICFCC 2009), 3-5 April 2009, Kuala Lumpur.
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Lee, Chong Wan
Sebastian , Patrick
Yap, Vooi Voon
Stereo Vision Tracking System
title Stereo Vision Tracking System
title_full Stereo Vision Tracking System
title_fullStr Stereo Vision Tracking System
title_full_unstemmed Stereo Vision Tracking System
title_short Stereo Vision Tracking System
title_sort stereo vision tracking system
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/865/
http://scholars.utp.edu.my/id/eprint/865/1/PID813539_%282%29-new.pdf