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http://dx.doi.org/10.5909/JBE.2017.22.1.70

People Counting Method using Moving and Static Points of Interest  

Gil, Jong In (Dept. of Computer & Communications Engineering)
Mahmoudpour, Saeed (Dept. of Computer & Communications Engineering)
Whang, Whan-Kyu (Dept. of Computer & Communications Engineering)
Kim, Manbae (Dept. of Computer & Communications Engineering)
Publication Information
Journal of Broadcast Engineering / v.22, no.1, 2017 , pp. 70-77 More about this Journal
Abstract
Among available people counting methods, map-based approaches based on moving interest points have shown good performance. However, the stationary people counting is challenging in such methods since all static points of interest are considered as background. To include stationary people in counting, it is needed to discriminate between the static points of stationary people and the background region. In this paper, we propose a people counting method based on using both moving and static points. The proposed method separates the moving and static points by motion information. Then, the static points of the stationary people are classified using foreground mask processing and point pattern analysis. The experimental results reveal that the proposed method provides more accurate count estimation by including stationary people. Also, the background updating is enabled to solve the static point misclassification problem due to background changes.
Keywords
people counting; stationary people; interest point; background update;
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Times Cited By KSCI : 1  (Citation Analysis)
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