18 January 2010 Active visual tracking method self-adapting to illumination based on particle filter pre-location
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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.
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Jie Su, Guisheng Yin, Zhenhua Wei, Yining Xie, "Active visual tracking method self-adapting to illumination based on particle filter pre-location", Proc. SPIE 7539, Intelligent Robots and Computer Vision XXVII: Algorithms and Techniques, 75390Z (18 January 2010); doi: 10.1117/12.839114; https://doi.org/10.1117/12.839114
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