Interacting multiple model particle filter to adaptive visual tracking

@article{Wang2004InteractingMM,
  title={Interacting multiple model particle filter to adaptive visual tracking},
  author={Jianyu Wang and Debin Zhao and Wen Gao and Shiguang Shan},
  journal={Third International Conference on Image and Graphics (ICIG'04)},
  year={2004},
  pages={568-571}
}
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 framework, how to sample the state evolution model to generate hypothesis of high confidence level is a critical factor. In this paper, we introduce an interacting multiple model estimation (IMME) framework for adaptive visual tracking. The essence of the IMME framework is that the state is estimated by… CONTINUE READING

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Estimation and tracking: principles, techniques and software, published by Artech House,1993

  • Y. Bar-Shalom, X. R. Li
  • Proceedings of the Third International Conference…
  • 2004
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