DocumentCode :
475601
Title :
Vehicle Detection Algorithm Based on Shadow Feature
Author :
Xu, Shaohua ; Zhao, Yong ; Yu, Chunyu ; Shen, Ling
Author_Institution :
China Security & Surveillance Technol. Corp., Shenzhen
Volume :
1
fYear :
2008
fDate :
3-4 Aug. 2008
Firstpage :
105
Lastpage :
109
Abstract :
Focusing on vehicle detection system, multi-vehicles are detected as a single target, disturbed by cast shadows. No matter what illumination, or if there are shadows, the luminance of the vehicle bottom decreased, the area is the darkest region of an image, is an important information for vehicle detection. Our results show the self-adaptive for the illumination variance, and low ratio of miss detection and redundant detection errors, anti-jamming of our method.
Keywords :
feature extraction; object detection; road vehicles; illumination variance; self-adaptive system; shadow feature; vehicle detection system; Brightness; Cameras; Communication system control; Gaussian distribution; Gaussian processes; Lighting; Surface morphology; Surveillance; Vehicle detection; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
Type :
conf
DOI :
10.1109/CCCM.2008.53
Filename :
4609479
Link To Document :
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