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Accurate car plate detection via car face landmark localization
Author(s): Hailiang Li; Man-Yau Chiu; Kangheng Wu; Zhibin Lei; Kin-Man Lam
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Paper Abstract

For intelligent vehicle surveillance systems, it is a big challenge to detect small, blurred car plates of vehicles driving on a highway. In this paper, we present a novel, two-stage detection scheme for small, blurred car-plate detection in large surveillance images. Our proposed scheme firstly detects vehicles, and then locates the car plates in specific regions of detected vehicles based on our proposed car-face landmark localization algorithm. Our scheme can also solve the high false-alarming rate problem with small, blurred car-plate detection. Experimental results show that our proposed method is accurate, and able to reduce the false-alarming rate, without any compromise in speed.

Paper Details

Date Published: 21 July 2017
PDF: 6 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042012 (21 July 2017); doi: 10.1117/12.2281924
Show Author Affiliations
Hailiang Li, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Hong Kong Applied Science and Technology Research Institute Co. Ltd. (Hong Kong, China)
Man-Yau Chiu, Hong Kong Applied Science and Technology Research Institute Co. Ltd. (Hong Kong, China)
Kangheng Wu, Hong Kong Applied Science and Technology Research Institute Co. Ltd. (Hong Kong, China)
Zhibin Lei, Hong Kong Applied Science and Technology Research Institute Co. Ltd. (Hong Kong, China)
Kin-Man Lam, The Hong Kong Polytechnic Univ. (Hong Kong, China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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