Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/76459
Title: Accurate car-plate detection via car face landmark localization
Authors: Li, HL 
Chiu, MY
Wu, KH
Lei, ZB
Lam, KM 
Keywords: Vehicle detection and tracking
Car-plate detection
Intelligent traffic
Surveillance system
Issue Date: 2017
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2017, v. 10420, pt. 1, UNSP 1042012 How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
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.
Description: 9th International Conference on Digital Image Processing (ICDIP), Hong Kong, People's Republic of China, May 19-22, 2017
URI: http://hdl.handle.net/10397/76459
ISBN: 978-1-5106-1305-8
978-1-5106-1304-1
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.2281924
Appears in Collections:Conference Paper

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