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

fYear

2006

fDate

5-8 Dec. 2006

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICARCV.2006.345157

Filename

4150067