Pattern Discovery for Video Surveillance

There is a need in many surveillance applications to automatically detect certain events, such as activities and/or behaviors exhibited by people, vehicle, or other moving objects. Existing systems require that every event be custom coded, predefined, into the computer system. We present a novel sys...

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Bibliographic Details
Published inAdvances in Visual Computing pp. 347 - 354
Main Authors Ma, Yunqian, Buddharaju, Pradeep, Bazakos, Mike
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Artificial intelligence
Border Point
Computer science; control theory; systems
Exact sciences and technology
Gait Recognition
Pattern Discovery
Pattern recognition. Digital image processing. Computational geometry
Video Clip
Video Surveillance
Reactive system
Computer vision
Surveillance
Video signal
Knowledge discovery
Moving body
Monitoring
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Summary:There is a need in many surveillance applications to automatically detect certain events, such as activities and/or behaviors exhibited by people, vehicle, or other moving objects. Existing systems require that every event be custom coded, predefined, into the computer system. We present a novel system that can automatically capture and define (learn) new events by pattern discovery, and further presents the events to the operator for confirmation. The operator checks for validity of the newly detected events and adds them into the event library. We also propose a new feature selection procedure that can uniquely identify important events such as people falling. We present experimental results on real dataset, which shows the effectiveness of the proposed method.
ISBN:9783540307501
3540307508
ISSN:0302-9743
1611-3349
DOI:10.1007/11595755_42