Analyzing motion patterns in crowded scenes via automatic tracklets clustering

  title={Analyzing motion patterns in crowded scenes via automatic tracklets clustering},
  author={Wang Chongjing and Zhao Xu and Zou Yi and Liu Yuncai},
  journal={China Communications},
Crowded scene analysis is currently a hot and challenging topic in computer vision field. The ability to analyze motion patterns from videos is a difficult, but critical part of this problem. In this paper, we propose a novel approach for the analysis of motion patterns by clustering the tracklets using an unsupervised hierarchical clustering algorithm, where the similarity between tracklets is measured by the Longest Common Subsequences. The tracklets are obtained by tracking dense points… CONTINUE READING
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