Bi-directional passenger counting on crowded situation based on sequence color images

Authors:
Ning Liu;Chengying Gao
Affiliations:
Software School, Sun Yat-sen University, Guangzhou, China;Computer Application Institute, Sun Yat-sen University, GuangZhou, China
Venue:
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Year:
2006

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Abstract

This paper presents a new method of counting the bi-directional passing people on crowded situations. It deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a surveillance zone when it’s crowded, and background and/or illumination changes. The proposed method analyzes image sequences and processes them using an algorithm based on the use of least squares and hausdorff distance. The method’s accurate degree will not be influenced by light, sunlight and shade of the passing people. Experimental results show that the new method is robust and more efficient than classic ones.