Depth-Assisted Face Detection and Association for People Counting

  • Guangyu Zhao
  • Huaping Liu
  • Lianzhi Yu
  • Bin Wang
  • Fuchun Sun
Part of the Communications in Computer and Information Science book series (CCIS, volume 321)

Abstract

This paper describes a system capable of detecting and counting people using the Kinect camera. Upon the assistance of the depth information, most false face detection can be effectively eliminated, and then a 3D data association is used for the link of tracks and detection results. Finally, the validated trajectory is used for counting the people who enters the region of interest. Experimental results show that the use of depth information strongly enhance the counting performance.

Keywords

Kinect depth information face detection people counting 3D 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Guangyu Zhao
    • 1
  • Huaping Liu
    • 2
    • 3
  • Lianzhi Yu
    • 1
  • Bin Wang
    • 4
  • Fuchun Sun
    • 2
    • 3
  1. 1.School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science & TechnologyChina
  2. 2.Department of Computer Science and TechnologyTsinghua UniversityP.R. China
  3. 3.State Key Laboratory of Intelligent Technology and SystemsBeijingP.R. China
  4. 4.Beijing Baidu Netcom Science Technology Co.,Ltd.China

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