Background Extraction And Vehicle Detection Method Based on Histogram in YCbCr Color Space

摘要：

　　In computer vision-based Intelligent Transportation Systems (ITS),one of the key techniques is to detect the vehicles accurately.In this paper,we propose a background extraction and vehicle detection method based on histogram in YCbCr color space.By using YCbCr color space,the influence of illumination change and shadows is reduced.To solve the problem with change in background itself,we propose a background update method by using the pixel change count and histogram.Experiment results show that the proposed algorithm can effectively extract and update the background information in complicated urban traffic environment.It also improves the accuracy (ehicle) detection.

关键词： YCbCr color space histogram vehicle detection background extraction threshold

作者: Chengjun Jin Guiran Chang Wei Cheng Huiyan Jiang

作者单位: School of Information Science and Engineering Northeastern University,China Software College Northeastern University,China

会议类型: 国际会议

会议名称: 2012 International Applied Mechanics,Mechatronics Automation Symposium(2012应用力学,机电一体化自动化国际研讨会)(IAMMAS2012)

会议地点: 沈阳

会议语种:英文

页码: 530-534

在线出版日期: 2012-09-07（万方平台首次上网日期，不代表论文的发表时间）