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

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Biometric Recognition (CCBR 2018)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10996))

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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

Z. Wang—Professor-level senior engineer, Computer science and technology.

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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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Correspondence to Kebin Jia .

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Wang, Z., Huang, X., Jia, K., Liu, P., Sun, Z. (2018). The Detection of Beard Behavior of Taxi Drivers Based on Traffic Surveillance Video. In: Zhou, J., et al. Biometric Recognition. CCBR 2018. Lecture Notes in Computer Science(), vol 10996. Springer, Cham. https://doi.org/10.1007/978-3-319-97909-0_69

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  • DOI: https://doi.org/10.1007/978-3-319-97909-0_69

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97908-3

  • Online ISBN: 978-3-319-97909-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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