Color identifying of vehicles based on color container and BP network

摘要：

On the basis of model building and extracting of moving vehicles, the paper propose a new method to identify the vehicle color based on color container and BP neural network. The method analyze the contribution of three channel of the HSI color space, extract the vehicle features using container, design a special neural network for the experiment. The experimental results show that the accuracy rate of the color identifying is high and the error rate is low using this method, which overcome the shortcomings of the conventional method.

关键词： Color BPnetwork container.

作者: Jing Fang Hengjun Yue Xiuzhi Li Jian Wu Zhiming Cui

作者单位: The Institute of Intelligent Information Processing and ApplicationSoochow UniversitySuzhou, China The Institute of Intelligent Information Processing and ApplicationSoochow UniversitySuzhou, China，J The Institute of Intelligent Information Processing and Application Soochow University Suzhou, China

会议类型: 国际会议

会议名称: 2011 International Conference on Business Management and Electronic Information(2011商业管理与电子信息国际学术会议 BMEI2011)

会议地点: 广州

会议语种:英文

页码: 1-4

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）