Title :
CARTRACK: computer vision-based car following
Author :
Zielke, Thomas ; Brauchkmann, M. ; Von Seelen, Werner
Author_Institution :
Inst. fur Neuroinf., Ruhr-Univ., Bochum, Germany
fDate :
30 Nov-2 Dec 1992
Abstract :
CARTRACK is a computer vision system that can reliably detect, track, and measure vehicle rears in images from a video camera in a following car. The system exploits the symmetry property typical for the rear of most vehicles on normal roads. The authors present two novel methods for detecting mirror symmetry in images, one based directly on the intensity values and another one based on a discrete representation of local orientation. CARTRACK has been used for realtime experiments with test vehicles of Volkswagen and Daimler-Benz
Keywords :
computer vision; road vehicles; CARTRACK; car following; computer vision system; mirror symmetry; vehicle rears; video camera; Cameras; Computer vision; Image edge detection; Mirrors; Object recognition; Road vehicles; Shape; Size measurement; Vehicle detection; Vehicle driving;
Conference_Titel :
Applications of Computer Vision, Proceedings, 1992., IEEE Workshop on
Conference_Location :
Palm Springs, CA
Print_ISBN :
0-8186-2840-5
DOI :
10.1109/ACV.1992.240316