摘要

For the multi-target tracking problems with complex background, the data association techniques are discussed. Combing the target detection algorithm with particle filter and using color histograms as observation model, the global nearest neighbor (GNN) performs data association. An improved multi-target tracking algorithm is presented based on particle filter. The proposed algorithm is robust to the problems of the appearance and disappearance of targets, the similar appearance of targets, the cross movement of targets and short-time occlusion.

  • 出版日期2009

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