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