DocumentCode
3528471
Title
Fast stereo based object detection for stop&go traffic
Author
Franke, U. ; Kutzbach, I.
Author_Institution
Daimler-Benz AG, Stuttgart, Germany
fYear
1996
fDate
19-20 Sep 1996
Firstpage
339
Lastpage
344
Abstract
This paper presents a new fast binocular stereo approach for the detection and tracking of objects, in particular for stop&go traffic. The proposed scheme is based on a local feature extraction and detects dominant objects by means of a Hough transform like disparity grouping. It is able to handle not only vehicles, but also other objects such as pedestrians. In addition, it allows to determine the camera orientation relative to the road and to distinguish between road surface and obstacles
Keywords
Hough transforms; feature extraction; image classification; object detection; road traffic; road vehicles; stereo image processing; Hough transform; binocular stereo approach; disparity grouping; dominant objects; local feature extraction; pedestrians; road surface; stereo based object detection; stop&go traffic; Automatic control; Cameras; Computer vision; Data mining; Feature extraction; Hardware; Object detection; Roads; Stereo vision; Vehicle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 1996., Proceedings of the 1996 IEEE
Conference_Location
Tokyo
Print_ISBN
0-7803-3652-6
Type
conf
DOI
10.1109/IVS.1996.566403
Filename
566403
Link To Document