Vehicle Speed Estimation Based On The Image Motion Blur Using RADON Transform

摘要：

In this paper we propose a novel approach for vehicle speed estimation based on the motion blur occurring in the image taken by still camera. when the camera shutter remains open for an extended period of time, because of existence relative motion between camera and object. Motion blur is occurred. Blurred image has two different parameters. One of them is direction of motion and the other is length of motion. For extracting blurred image parameter, first, the Fourier transform is taken from image and then Radon transform is used for extracting direction of motion For extracting length of motion, we used our purposed method. There is a relation between motion parameters and vehicle speed. Finally Speed estimation is performed by imaging geometry, extracted blur parameters and the camera parameters. Proposed method improved accuracy of measurement motion blur parameters and then accuracy of speed estimation than the others purposed methods.

关键词： speed estimation motion blur radon transform blur parameter

作者: Javad Mohammadi Rohollah Akbari Mehdi Keshavarz Ba haghighat

作者单位: Electrical department Azad University of Takestan Takestan, Jran Electrical and Computer department Azad University of Qazvin Qazvin, Iran Computer department Raja University of Qazvin Qazvin, Iran

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 243-247

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）