Adaptive Rao–Blackwellized Particle Filter and Its Evaluation for Tracking in Surveillance

@article{Xu2007AdaptiveRP,
  title={Adaptive Rao–Blackwellized Particle Filter and Its Evaluation for Tracking in Surveillance},
  author={Xinyu Xu and Baoxin Li},
  journal={IEEE Transactions on Image Processing},
  year={2007},
  volume={16},
  pages={838-849}
}
Particle filters can become quite inefficient when being applied to a high-dimensional state space since a prohibitively large number of samples may be required to approximate the underlying density functions with desired accuracy. In this paper, by proposing an adaptive Rao-Blackwellized particle filter for tracking in surveillance, we show how to exploit the analytical relationship among state variables to improve the efficiency and accuracy of a regular particle filter. Essentially, the… CONTINUE READING
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