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Cross-reference Detection Algorithm for the Real Surveillance Systems Based-on Fuzzy Corresponding Map | IEEE Conference Publication | IEEE Xplore

Cross-reference Detection Algorithm for the Real Surveillance Systems Based-on Fuzzy Corresponding Map


Abstract:

A detection algorithm with color information for two dynamic images in a real surveillance system is proposed. It considers input region of frame as a detected region or ...Show More

Abstract:

A detection algorithm with color information for two dynamic images in a real surveillance system is proposed. It considers input region of frame as a detected region or the region behind other objects based on fuzzy corresponding map which describes common regions between input two dynamic images. Detection experimental results for the real surveillance situation show that the proposed algorithm improves 30% of accuracy compared with the independent detection algorithm. The algorithm will be installed in a basis unit for the real surveillance systems.
Date of Conference: 16-21 July 2006
Date Added to IEEE Xplore: 11 September 2006
Print ISBN:0-7803-9488-7
Print ISSN: 1098-7584
Conference Location: Vancouver, BC, Canada

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