Markov chain Monte Carlo data association for general multiple-target tracking problems

  title={Markov chain Monte Carlo data association for general multiple-target tracking problems},
  author={Songhwai Oh and Stuart Russell and S. V. S. SriHarsha Sastry},
  journal={2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)},
  pages={735-742 Vol.1}
In this paper, we consider the general multiple-target tracking problem in which an unknown number of targets appears and disappears at random times and the goal is to find the tracks of targets from noisy observations. We propose an efficient real-time algorithm that solves the data association problem and is capable of initiating and terminating a varying number of tracks. We take the data-oriented, combinatorial optimization approach to the data association problem but avoid the enumeration… CONTINUE READING
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Efficient gating in data association with multivariate distributed states

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