Decentralized multiple target tracking using netted collaborative autonomous trackers

@article{Yu2005DecentralizedMT,
  title={Decentralized multiple target tracking using netted collaborative autonomous trackers},
  author={Ting Yu and Ying Wu},
  journal={2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)},
  year={2005},
  volume={1},
  pages={939-946 vol. 1}
}
This paper presents a decentralized approach to multiple target tracking. The novelty of this approach lies in the use of a set of autonomous while collaborative trackers to overcome the tracker coalescence problem with linear complexity. In this approach, the individual trackers are autonomous in the sense that they can select targets to track and evaluate themselves, and they are also collaborative since they need to compete for the targets against those trackers that are close to them… CONTINUE READING
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