An Improved Color-Based Particle Filter for Object Tracking

@article{Chen2008AnIC,
  title={An Improved Color-Based Particle Filter for Object Tracking},
  author={Yuan Chen and Shengsheng Yu and Jun Fan and Wenxin Chen and Hongxing Li},
  journal={2008 Second International Conference on Genetic and Evolutionary Computing},
  year={2008},
  pages={360-363}
}
The object tracking problem in a nonlinear and/or non-Gaussian circumstance can be solved by particle filter estimation based on the concept of sequential importance sampling and the use of Bayesian theory. An improved object tracking scheme is proposed, which is based on the Markov chain Monte Carlo (MCMC) particle filter and object color distribution. This scheme is robust to clutter, deformation of non-rigid object, rotation, and partial occlusion. In our scheme, a novel MCMC sampling method… CONTINUE READING
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