ICIP 2006, Atlanta, GA

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Paper Detail

Session:Video Surveillance
Time:Tuesday, October 10, 14:20 - 14:40
Presentation: Lecture
Topic: Other Areas and Applications: Video surveillance
Authors: Lauro Snidaro; University of Udine 
 Claudio Piciarelli; University of Udine 
 Gian Luca Foresti; University of Udine 
Abstract: Video security systems are required to extract semantic information on the ongoing activities in a given environment, in order to detect suspicious or potentially dangerous behaviours. To achieve this goal we proposed a real-time trajectory clustering algorithm able to detect common patterns of activity; the output of this algorithm can be used to facilitate high level behaviour analysis and situation assessment. In this paper we extend our previous work using the Dempster-Shafer theory of evidence framework. This allows an explicit handling of evidence accrual and fusion that gives more meaningful data for high-level activity analysis modules.