Anomalous trajectory patterns detection

13 years 6 months ago
Anomalous trajectory patterns detection
In the field of event analysis, the detection of anomalous events has often been based on the creation of a model representing the most common patterns of activity detected within a monitored scene. This way, anomalous events can be identified by comparison with the model as patterns differing from typical events. In particular, trajectories of moving objects have often been used as a feature for anomalous event detection. In this paper we propose a combination of clustering and SVM techniques in order to automatically detect anomalous trajectories1 .
Claudio Piciarelli, Christian Micheloni, Gian Luca
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Claudio Piciarelli, Christian Micheloni, Gian Luca Foresti
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