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Real Time Crowd Estimation System Using Embedded Hardware  

Jeong, Cheol-Jun (하이트론씨스템즈(주))
Park, Kwang-Young (하이트론씨스템즈(주))
Park, Gooman (서울과학기술대학교 전자IT미디어공학과)
Publication Information
Journal of Satellite, Information and Communications / v.8, no.4, 2013 , pp. 26-29 More about this Journal
Abstract
In order to estimate people crowdedness in public area, the texture based method or motion based method can be used. In this paper we have proposed a mixed method. By designating the region of interest, we made the degree of crowdedness more accurate. The feature normalization also reduced the image distortion which results from difference of camera angle. The proposed system was optimized to real time embedded hardware system.
Keywords
object tracking; people counting; crowdedness;
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