Audiences Counting in Cinema by Detecting Occupied Chairs
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Human 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.
KeywordsAudiences counting Foreground segmentation Contour detection
This research was supported by the National Natural Science Foundation of China (61503005), by Beijing Natural Science Foundation (4162022), and by High Innovation Program of Beijing (2015000026833ZK04).
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