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/).

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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  -