Abstract
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.
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Acknowledgment
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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Su, Z., Lan, J., Song, W., Fong, S., Tian, Y. (2017). Audiences Counting in Cinema by Detecting Occupied Chairs. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_79
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DOI: https://doi.org/10.1007/978-981-10-5041-1_79
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