Anomalous trajectory detection using support vector machines

Authors:
C. Piciarelli;G. L. Foresti
Affiliations:
Department of Mathematics and Computer Science, University of Udine, Italy;Department of Mathematics and Computer Science, University of Udine, Italy
Venue:
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Year:
2007

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IEICE - Transactions on Information and Systems

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Abstract

The ability to recognize humans and their activities by vision is key for a machine to interact intelligently and effortlessly with a human-inhabited environment. Because of many important applications, “Looking at People“ is currently the ...