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CIDM
2007
IEEE

Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems

13 years 9 months ago
Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems
–The OBSERVER is a video surveillance system that detects and predicts abnormal behaviors aiming at the intelligent surveillance concept. The system acquires color images from a stationary video camera and applies state of the art algorithms to segment, track and classify moving objects. In this paper we present the behavior analysis module of the system. A novel method, called Dynamic Oriented Graph (DOG) is used to detect and predict abnormal behaviors, using real-time unsupervised learning. The DOG method characterizes observed actions by means of a structure of unidirectional connected nodes, each one defining a region in the hyperspace of attributes measured from the observed moving objects and having assigned a probability to generate an abnormal behavior. An experimental evaluation with synthetic data was held, where the DOG method outperforms the previously used N-ary Trees classifier.
Duarte Duque, Henrique Santos, Paulo Cortez
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where CIDM
Authors Duarte Duque, Henrique Santos, Paulo Cortez
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