Title :
A road sign recognition system based on dynamic visual model
Author :
Fang, C.Y. ; Fuh, C.S. ; Chen, S.W. ; Yen, P.S.
Author_Institution :
Dept. of Inf. & Comput. Educ., Nat. Taiwan Normal Univ., Taipei, Taiwan
Abstract :
We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model, called dynamic visual model, consists of three major components: sensory, perceptual, and conceptual components. The proposed model is used as the underlying framework in which a system for detecting and recognizing road signs is developed.
Keywords :
automated highways; computer vision; driver information systems; image sensors; object detection; object recognition; road vehicles; stereo image processing; visual perception; change detection; computational model; conceptual component; driving environment; dynamic visual model; human cognitive process; perceptual component; road sign recognition system; road traffic; sensory component; Computational modeling; Computer science; Computer science education; Data mining; Humans; Road vehicles; Traffic control; Vehicle dynamics; Video sequences; Visual system;
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1900-8
DOI :
10.1109/CVPR.2003.1211428
