An Improved Detection Algorithm of Moving Vehicles Based on Computer Vision

摘要：

Moving vehicle detection based on computer vision is an important aspect in the application of Intelligent Transportation Systems(ITS). How to get the accurate parameters of the vehicle in real-time, especially in complicated background situation is very critical. In this paper an improved detection algorithm of moving vehicle is proposed. According to the characteristics of some present detection algorithms, the paper makes improvement to background subtraction and symmetric difference method respectively, and combines both of them. In the method of background difference, the selective statistics background updating algorithm is proposed. Add region-growing segmentation and the morphological filtering methods to the postprocessing step. Through simulation experiment with the real traffic video image, the effect is obvious.

关键词： background subtraction selective statistical background updating symmetrical difference detection of moving vehicles computer vision

作者: Jie CAO Wei WANG Yan LIANG

作者单位: College of Computer and Communication,Lanzhou University of Technology,Lanzhou,Gansu,730050,China Guangzhou Institute of Measureing and Testing Technology,Guangzhou,Guangdong,510030,China Department of Electrical Engineering,Zhengzhou University,Zhengzhou,Henan,450001,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 2549-2553

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）