Title :
Fast stereo based object detection for stop&go traffic
Author :
Franke, U. ; Kutzbach, I.
Author_Institution :
Daimler-Benz AG, Stuttgart, Germany
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;
Conference_Titel :
Intelligent Vehicles Symposium, 1996., Proceedings of the 1996 IEEE
Conference_Location :
Tokyo
Print_ISBN :
0-7803-3652-6
DOI :
10.1109/IVS.1996.566403
