Tracking multiple moving objects in images using Markov Chain Monte Carlo

@inproceedings{Jiang2016TrackingMM,
  title={Tracking multiple moving objects in images using Markov Chain Monte Carlo},
  author={Lan Jiang and Sumeetpal S. Singh},
  year={2016}
}
A new Bayesian state and parameter learning algorithm for multiple target tracking models with image observations are proposed. Specifically, a Markov chain Monte Carlo algorithm is designed to sample from the posterior distribution of the unknown time-varying number of targets, their birth, death times and states as well as the model parameters, which constitutes the complete solution to the specific tracking problem we consider. The conventional approach is to pre-process the images to… CONTINUE READING

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