Research on Cue Fusion Based on the Particle Filter
A single source has the instability for tracking target because of the impact of the environment. To solve this problem, cue fusion based on the particle filter is proposed. The algorithm uses the stratified sampling strategy through weighted color histogram and motion histogram, slows down the degradation of particles, and enhances the stability and accuracy of target tracking. The results show that cue fusion based on the particle filter is better than a single source even if the number of particles in cue fusion is the half of it in a single source.
KeywordsParticle filter Cue fusion Histogram Object tracking
This work is supported by the Natural Science Foundation of China (Grant No. 41074090), Henan Province Open Laboratory for Control Engineering Key Disciplines (Grant No. KG2009-18), Henan Science and Technology key project (Grant No. 092102210360), and the Doctorate Program of Henan Polytechnic University (Grant No. B2009-27).
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