Visual surveillance in dynamic scene

Authors:
Alaa Hamdy;Shady Hamdy
Affiliations:
Department of Electronics, Communications and Computers, Faculty of Engineering, Helwan University, Helwan, Cairo, Egypt;Department of Electronics, Communications and Computers, Faculty of Engineering, Helwan University, Helwan, Cairo, Egypt
Venue:
CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Year:
2008

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Abstract

Visual surveillance in dynamic scene, especially for vehicles, is currently one of the most active research topics in computer vision. It has a wide area of applications, including reduction of the road accidents, crowd flux statistics and congestion, identifying suspicious vehicles, etc. In general, the processing framework of visual surveillance in dynamic scene includes the following stages: modeling of environments, detection of motion, classification of moving objects, and tracking. The visual surveillance technique will be discussed trying to make a real time tracking and counting for vehicles.