文章基本信息

标题：Detection of Smoking in Elevator Using Average Intensity Measure
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作者：Seong-Yoon Shin ; Sang-Won Lee
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2015
卷号：10
期号：8
页码：181-186
DOI：10.14257/ijmue.2015.10.8.18
出版社：SERSC
摘要：Smoking in elevators would give children and weak women a deadly blow. Latest no- smoking laws and increasing the price of cigarettes decreased smoking rate drastically. However, since this phenomenon is a transient one, the smoking rate seems to be increasing again to the previous level. In our research, we above all chose people who smoked in elevators. The method of sampling key frame is Average Intensity Measure. This method uses average intensity of whole image for each RGB color channel in order to detect scene change. If white color (255) occurs by a certain pixel after reducing the subject domain of sampled key frame to face domain, it is considered as smoking. These extracted scenes could be provided as a evidence of forensics in police stations or courts.
关键词：smoking; Average Intensity Measure; scene change; RGB color channel; ; forensic