Title :
Obstacle detection from image divergence and deformation
Author :
Sato, Jun ; Cipolla, Roberto
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Abstract :
In this paper, we investigate a method for identifying obstacles and measuring the threat of collision. The distortion in images is measured by the change in moments, and is exploited to extract the orientation of surfaces and time-to-contact with the objects. The proposed method was tested on real scenes, and it successfully distinguished between obstacles and road markings
Keywords :
computer vision; feature extraction; motion estimation; object recognition; road vehicles; image deformation; image divergence; image moments; intelligent road vehicles; obstacle detection; road markings; surface orientation extraction; time-to-contact; Cameras; Distortion measurement; Layout; Position measurement; Road vehicles; Robustness; Shape measurement; Size measurement; Testing; 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.1996.566372
