DocumentCode :
3276112
Title :
A new approach to vehicle positioning based on region of interest
Author :
Yue Feng ; Cangju Xing
Author_Institution :
Inf. Sci. & Technol. Coll., Beijing Univ. of Chem. Technol., Beijing, China
fYear :
2013
fDate :
23-25 May 2013
Firstpage :
471
Lastpage :
474
Abstract :
An effective approach to vehicle detection based on region of interest is proposed. Initially, an excellent approach to region of interest determination is proposed through analyzing videos. It can eliminate environmental interference, and a region of interest with only vehicle and road is obtained. The method not only reduces the search range, but also eliminates a lot of false targets, so the follow-up vehicle location determination becomes very simple. Then, the potential vehicles are obtained by the shadow of vehicle and features of black tire. The experiments show that the method is simple and high accuracy, to meet the needs of daily aided driving.
Keywords :
computer vision; environmental factors; object detection; position control; road vehicles; roads; black tire features; daily aided driving; environmental interference; follow-up vehicle location determination; region of interest-based vehicle positioning; road; search range; vehicle detection; vehicle shadow; Adaptive optics; Image edge detection; Image segmentation; Integrated optics; Optical imaging; Roads; Vehicles; Computer Vision; Intelligent Vehicle; Region of Interest; Traffic Lane;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
ISSN :
2327-0586
Print_ISBN :
978-1-4673-4997-0
Type :
conf
DOI :
10.1109/ICSESS.2013.6615351
Filename :
6615351
Link To Document :
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