Vehicle Color Recognition in Static Image For Traffic Enforcement Camera System
- DOI
- 10.2991/mcei-15.2015.82How to use a DOI?
- Keywords
- Vehicle color recognition; Support vector machine; Bayes classifier; Multiple classifier combination
- Abstract
Vehicle information recognition is a key component of traffic enforcement camera system. Color plays an important role in vehicle identification. In this paper, we propose a method of vehicle color recognition based on SVM and Bayesian classifier combination. For distinguished vehicle color types, support vector machine algorithms is used for classification. After generating prior probability and class conditional probability, maximum posterior probability is computed based on Bayes classifier to identify color types for less-distinguishable colors type. Then support vector machine and Bayes classifier are combined to with decision tree, which simplified classification algorithms. Our experiment show that a good identification of color types is achieved, and the total recognition rate is at 86.5%.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yong Tang AU - Yan Xu PY - 2015/06 DA - 2015/06 TI - Vehicle Color Recognition in Static Image For Traffic Enforcement Camera System BT - Proceedings of the International Conference on Management, Computer and Education Informatization PB - Atlantis Press SP - 310 EP - 313 SN - 2352-538X UR - https://doi.org/10.2991/mcei-15.2015.82 DO - 10.2991/mcei-15.2015.82 ID - Tang2015/06 ER -