Tracking Multiple Persons Based on a Variational Bayesian Model

@inproceedings{Ban2016TrackingMP,
  title={Tracking Multiple Persons Based on a Variational Bayesian Model},
  author={Yutong Ban and Sileye O. Ba and Xavier Alameda-Pineda and Radu Horaud},
  booktitle={ECCV Workshops},
  year={2016}
}
Object tracking is an ubiquitous problem in computer vision with many applications in human-machine and human-robot interaction, augmented reality, driving assistance, surveillance, etc. Although thoroughly investigated, tracking multiple persons remains a challenging and an open problem. In this paper, an online variational Bayesian model for multiple-person tracking is proposed. This yields a variational expectation-maximization (VEM) algorithm. The computational efficiency of the proposed… CONTINUE READING
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