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The Detection of Beard Behavior of Taxi Drivers Based on Traffic Surveillance Video

  • Zuyun Wang
  • Xunping Huang
  • Kebin Jia
  • Pengyu Liu
  • Zhonghua Sun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10996)

Abstract

This paper presents a method for automatic detection of taxi drivers beard behavior. First, Haar-Adaboost algorithm is used to locate the special window area of taxi. Secondly, the image is preprocessed by multi-scale retina enhancement algorithm on image value channel, then face feature points and chin area are extracted from the window area, and the beard pixel is segmented by skin tone and gray threshold method. Finally, The method was tested by real traffic surveillance video and the validity was proved

Keywords

Beard behavior Window area Face feature points Chin area 

Notes

Acknowledgment

This paper is supported by the Project for the National Natural Science Foundation of China under Grants No. 61672064, the Beijing Natural Science Foundation under Grant No. 4172001, the China Postdoctoral Science Foundation under Grants No. 2016T90022, 2015M580029, the Beijing Postdoctoral Science Foundation under Grants No. 2015ZZ-23, the Science and Technology Project of Beijing Municipal Education Commission under Grants No. KZ201610005007, and Beijing Laboratory of Advanced Information Networks under Grants No. 040000546617002, and Beijing Municipal Communications Commission Science and Technology Project under Grants No. 2017058.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Zuyun Wang
    • 1
  • Xunping Huang
    • 2
    • 3
    • 4
    • 5
  • Kebin Jia
    • 2
    • 3
    • 4
    • 5
  • Pengyu Liu
    • 2
    • 3
    • 4
    • 5
  • Zhonghua Sun
    • 2
    • 3
    • 4
    • 5
  1. 1.Traffic Execution BR Gade of BeijingBeijingChina
  2. 2.Faculty of Information TechnologyBeijing University of TechnologyBeijingChina
  3. 3.Beijing Laboratory of Advanced Information NetworksBeijingChina
  4. 4.Beijing Advanced Innovation Center for Future Internet TechnologyBeijing University of TechnologyBeijingChina
  5. 5.Beijing Key Laboratory of Computational Intelligence and Intelligent SystemBeijing University of TechnologyBeijingChina

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