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Audiences counting in cinema by detecting occupied chairs
Su Z.1; Lan J.1; Song W.1; Fong S.2; Tian Y.1
2017
Source PublicationLecture Notes in Electrical Engineering
Volume448
Pages493-498
AbstractHuman counting in cinema is easily influenced by varied illumination, so as to become a complicated problem. This paper develops an audience counting system in cinema by detecting occupied chairs in captured images. Firstly, we initialize chair regions in a background image manually. Then, the differences between the background and current images are detected as foreground regions. Such rough segmentation results always contain noise because of environmental illumination changing. Thus, a contour difference detection algorithm is applied to refine the audience detection results. Next, if both foreground and contour differences in a chair region are larger than a threshold, this chair is recognized to be occupied by an audience. Finally, the audience number is estimated by counting the occupied chairs.
KeywordAudiences counting Contour detection Foreground segmentation
DOI10.1007/978-981-10-5041-1_79
URLView the original
Language英語
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Document TypeConference paper
专题University of Macau
Affiliation1.North China University of Technology
2.Universidade de Macau
推荐引用方式
GB/T 7714
Su Z.,Lan J.,Song W.,et al. Audiences counting in cinema by detecting occupied chairs[C],2017:493-498.
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