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Detection Algorithm for Color Image by Multiple Surveillance Camera under Low Illumination Based-on Fuzzy Corresponding Map

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4 Author(s)
Yutaka Hatakeyama ; Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology Japan. e-mail: ; Masatoshi Makino ; Akimichi Mitsuta ; Kaoru Hirota

An objects detection algorithm for color dynamic images from two cameras is proposed for a real surveillance system under low illumination. It provides automatic calculation of a Fuzzy Corresponding Map and color similarity for lower luminance conditions, which detects small chromatic regions in CCD camera images under lower illumination. Experimental detection results for two dynamic images from real surveillance cameras in a downtown area in Japan under low luminance conditions show that the proposed algorithm has 15% improved accuracy compared with the independent detection algorithm in the same false alarm rate, which implementability for severe surveillance situation is discussed. The proposed algorithm is being considered for use in a low cost surveillance system at a relatively poor security downtown (shopping mall) area in Japan.

Published in:

2007 IEEE International Fuzzy Systems Conference

Date of Conference:

23-26 July 2007