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
- 12Citations
- 2Captures
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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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=7444251164&origin=inward; http://dx.doi.org/10.1007/978-3-540-24775-3_61; http://link.springer.com/10.1007/978-3-540-24775-3_61; http://link.springer.com/content/pdf/10.1007/978-3-540-24775-3_61.pdf; http://www.springerlink.com/index/10.1007/978-3-540-24775-3_61; http://www.springerlink.com/index/pdf/10.1007/978-3-540-24775-3_61; https://dx.doi.org/10.1007/978-3-540-24775-3_61; https://link.springer.com/chapter/10.1007/978-3-540-24775-3_61
Springer Science and Business Media LLC
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