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Proceedings Paper

Active visual tracking method self-adapting to illumination based on particle filter pre-location
Author(s): Jie Su; Guisheng Yin; Zhenhua Wei; Yining Xie
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Paper Abstract

To improve the identification rate and tracking rate for quickly moving target, expand tracking scope and lower the sensitivity to illumination varying, an active visual tracking system self-adapting to illumination based on particle filter pre-location is proposed. The algorithm of object pre-location based on particle filter is used to realize realtime tracking to moving target by forecasting its location and control camera joints of Tilt and Pan. The method resetting system is used to improve accuracy of system. Brightness histogram equalization method is used to reduce the affect of illuminating varying in pre-location algorithm. Experiments and property analysis show that the real-time and accuracy are greatly improved.

Paper Details

Date Published: 18 January 2010
PDF: 5 pages
Proc. SPIE 7539, Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques, 75390Z (18 January 2010); doi: 10.1117/12.839114
Show Author Affiliations
Jie Su, Harbin Engineering Univ. (China)
Harbin Univ. of Science and Technology (China)
Guisheng Yin, Harbin Engineering Univ. (China)
Zhenhua Wei, North China Electronic Power Univ. (China)
Yining Xie, Harbin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7539:
Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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