ML Anthology

A Road Sign Recognition System Based on Dynamic Visual Model

Chiung-Yao Fang, Chiou-Shann Fuh, Sei-Wang Chen, P. S. Yen
CVPR 2003 pp. 750-755
doi:10.1109/CVPR.2003.1211428 /cvpr/2003/fang2003cvpr-road/

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.

CVPR Semantic Scholar

Cite

Text

Fang et al. "A Road Sign Recognition System Based on Dynamic Visual Model." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003. doi:10.1109/CVPR.2003.1211428

Markdown

[Fang et al. "A Road Sign Recognition System Based on Dynamic Visual Model." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003.](https://mlanthology.org/cvpr/2003/fang2003cvpr-road/) doi:10.1109/CVPR.2003.1211428

BibTeX

@inproceedings{fang2003cvpr-road,
  title     = {{A Road Sign Recognition System Based on Dynamic Visual Model}},
  author    = {Fang, Chiung-Yao and Fuh, Chiou-Shann and Chen, Sei-Wang and Yen, P. S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2003},
  pages     = {750-755},
  doi       = {10.1109/CVPR.2003.1211428},
  url       = {https://mlanthology.org/cvpr/2003/fang2003cvpr-road/}
}