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Peculiarity oriented analysis in multi-people tracking images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 3056, Page: 508-518
2004
  • 12
    Citations
  • 0
    Usage
  • 2
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    12
    • Citation Indexes
      12
  • Captures
    2

Conference Paper Description

In the place in which many people gather, we may find a suspicious person who is different from others from a security viewpoint. In other words, the person who takes a peculiar action is suspicious. In this paper, we describe an application of our peculiarity oriented mining approach for analysing in image sequences of tracking multiple walking people. A measure of peculiarity, which is called peculiarity factor, is investigated theoretically. The usefulness of our approach is verified by experimental results.

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