[1]YE Guo,CHENG Hong,ZHAO Yang.moking recognition in movies[J].CAAI Transactions on Intelligent Systems,2011,6(5):440-444.
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moking recognition in movies

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 5 Page number: 440-444 Column: 学术论文—机器感知与模式识别 Public date: 2011-10-30
Title:
moking recognition in movies
Author(s):
YE Guo;  CHENG Hong;  ZHAO Yang
School of Automation, University of Electronic Science and Technology of China, Chengdu 611731, China
Keywords:
movies;  smoking action recognition;  naiveBayesian mutual information maximization;  computer vision;  pattern recognition
CLC:
TP391.4
DOI:
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Abstract:
Action recognition in movies is a difficult problem in the computer vision domain. Traditional approaches have a bad recognition effect because they are subjected to viewpoint changes, scene changes, and illumination changes in real scenes. This paper presented a novel combined recognition approach, using mutual information to solve the problems mentioned above. This method builds the initial skeleton using naiveBayesian mutual information maximization (NBMIM) and combines the shape information with the motion information to recognize smoking, which is a typical activity in movies. The proposed smoking recognition approach was evaluated in the film 〖WTBX〗Coffee and Cigarettes〖WTBZ〗. The results indicate that the proposed method is robust, and it significantly improves the recognition rate.
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