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The main problem of particle filter (PF) in nonlinearstate estimation is the particle degeneracy. Resampling operationsolves degeneracy to some extent, but it results in the problem ofsample impoveris...
In this paper, a novel multiple objects detection and tracking approach based on support vector machine and particle filter is proposed to track players in broadcast sports video. Compared with previo...
Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density of the state evolution...
Visual tracking could be formulated as a state estimation problem of target representation based on observations in image sequences. Approaching visual tracking problem in the Bayesian filter framew...

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