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http://dx.doi.org/10.9708/jksci.2013.18.10.089

Extraction of Smocking in Elevator Using Robust Scene Change Detection Method  

Lee, Kang-Ho (Dept. of Computer Information Security, Korea National University of Welfare)
Shin, Seong-Yoon (Dept. of Computer Information Engineering, Kunsan National University)
Rhee, Yang-Won (Dept. of Computer Information Engineering, Kunsan National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.18, no.10, 2013 , pp. 89-95 More about this Journal
Abstract
Smoking in elevators is a criminal offense that is included in a misdemeanor. Because of that smoking in elevators can be very critical for our growing children and weak women. In this paper, we would like to extract criminals doing this criminal offense to smoke in elevators. Extraction method detect difference value using modified color-X2-test and it was normalized. Next, we find frames that has occurred scene change in successive frames using the four-step algorithm of scene change detection. Finally, we present the method of smoking image retrieval and extraction in stored large amount of video. In the experiment, we show process and number of scene change detection, and the number of video searched per retrieval time. The extracted smoking video is to submit as evidence for the police or court.
Keywords
Smoking; Criminal Offense; Color-X2-test; Scene Change Detection; Image Retrieval and Extraction;
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