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