Title :
A Rear-Vehicle Detection System for Static Images Based on Monocular Vision
Author :
Wen, Xuezhi ; Zhao, Hong ; Wang, Nan ; Yuan, Huai
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
A rear-vehicle detection system of static images based on monocular vision is presented. It does not need the road boundary and lane information. Firstly, it segments the region of interest (ROI) by using the shadow underneath the vehicle and edges. Secondly, it accurately localizes the ROI by vehicle features such as symmetry, edges and the shadow underneath the vehicle, etc. Finally, it completes vehicle detection by combining knowledge-based and statistics-based methods. Under various illuminations and different roads (different day time, different scenes: highway, urban common road, urban narrow road), the system shows good results of recognition and performance
Keywords :
feature extraction; image segmentation; knowledge based systems; object detection; statistical analysis; traffic engineering computing; vehicles; feature extraction; knowledge-based method; monocular vision; rear-vehicle detection; static image; statistics-based method; Feature extraction; Image edge detection; Image segmentation; Layout; Lighting; Real time systems; Road accidents; Support vector machines; Vehicle detection; Vehicles; DAS; ITS; SVM; feature extraction; vehicle detection;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345157
