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Audiences Counting in Cinema by Detecting Occupied Chairs

  • Zhitong Su
  • Jun Lan
  • Wei SongEmail author
  • Simon Fong
  • Yifei Tian
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 448)

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.

Keywords

Audiences counting Foreground segmentation Contour detection 

Notes

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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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Zhitong Su
    • 1
  • Jun Lan
    • 1
  • Wei Song
    • 1
    • 2
    Email author
  • Simon Fong
    • 3
  • Yifei Tian
    • 1
  1. 1.Department of Digital Media TechnologyNorth China University of TechnologyBeijingChina
  2. 2.Key Laboratory on Integration and Analysis of Large-Scale Stream DataNorth China University of TechnologyBeijingChina
  3. 3.Department of Computer and Information ScienceUniversity of MacauMacauChina

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