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Proceedings Paper

Method and application of active visual tracking based on illumination invariants
Author(s): Jie Su; Gui-sheng Yin; Lei Wang; Yong-qian Sun; Zheng Liu
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Paper Abstract

With the development of the application of visual tracking technology, the performance of visual tracking algorithm is important. Due to many kinds of voice, robust of tracking algorithm is bad. To improve identification rate and track rate for quickly moving target, expand tracking scope and lower sensitivity to illumination varying, an active visual tracking system based on illumination invariants is proposed. Camera motion pre-control method based on particle filter pre-location is used to improve activity and accuracy of track for quickly moving target by forecasting target position and control camera joints of Tilt, Pan and zoom. Pre-location method using particle sample filter according to illumination invariants of target is used to reduce the affect of varying illumination during tracking moving target and to improve algorithm robust. Experiments in intelligent space show that the robust to illumination vary is improved and the accuracy is improved by actively adjust PTZ parameters.

Paper Details

Date Published: 4 February 2013
PDF: 7 pages
Proc. SPIE 8662, Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 86620Q (4 February 2013); doi: 10.1117/12.2003420
Show Author Affiliations
Jie Su, Harbin Univ. of Science and Technology (China)
Harbin Engineering Univ. (China)
Gui-sheng Yin, Harbin Engineering Univ. (China)
Lei Wang, Harbin Univ. of Science and Technology (China)
Yong-qian Sun, Harbin Univ. of Science and Technology (China)
Zheng Liu, Harbin Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 8662:
Intelligent Robots and Computer Vision XXX: Algorithms and Techniques
Juha Röning; David Casasent, Editor(s)

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