DocumentCode :
1844631
Title :
A method of location the vehicle windshield region for vehicle occupant detection system
Author :
Xue Yuan ; Yifei Meng ; Xueye Wei
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Volume :
1
fYear :
2012
fDate :
21-25 Oct. 2012
Firstpage :
712
Lastpage :
715
Abstract :
This paper investigates a maximum energy method to extract the windshield regions from the vehicles, proposed method combines the information of color (gray-scale), shape and complexity for location the vehicle windshield region, which can be applied vehicle occupant detection and recognition system successfully. Firstly, the mean-shift segmentation method is adopted to divide the vehicle image into several segments, and Hough transform method is adopted to extract the shape lines from edges of vehicle, these shape lines compose several trapezoids as candidate regions. Then, the maximum energy method is proposed to select final windshield region from the candidate regions. Finally, Histograms of Oriented Gradients (HOG) descriptors based method is adopted to detect the occupants in the extracted windshield regions.
Keywords :
Hough transforms; feature extraction; gradient methods; image classification; image segmentation; object detection; object recognition; shape recognition; traffic engineering computing; HOG descriptor based method; Hough transform method; color information; complexity information; edge detection; histogram of oriented gradient; maximum energy method; mean shift segmentation method; shape information; shape line extraction; vehicle image division; vehicle occupant detection system; vehicle recognition system; vehicle windshield region location; Hough transform; maximum energy method; mean-shift segmentation; vehicle occupant detection; vehicle windshield detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6491586
Filename :
6491586
Link To Document :
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