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http://dx.doi.org/10.5369/JSST.2002.11.1.028

A People Counting Technique for Video Surveillance and Monitoring(VSAM) Systems  

Do, Yong-Tae (School of Computer and Communication Engineering, Taegu University)
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Abstract
People are important targets for video surveillance and monitoring(VSAM) but difficult to be analyzed. In this paper, a technique to count people in image sequences is dealt as a prerequisite procedure for automatic tracking and behaviour analysis. A group of people is divided at local minima of the line connecting the highest pixels on the binary image of the people extracted from the image taken by a stationary video camera. As the properties of the divided regions vary according to the relative positions of the people in a group, different states are assigned for the completely occluded, partially occluded, completed separated individual, and wrongly divided regions. By analyzing the transition of the states of divided regions, the number of people on the site monitored is estimated. The technique is checked in real experimental situations.
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