基于局部运动模糊图像的测速方法

Velocity Measurement Based on Partial Motion Blur Image

针对在静止背景中运动的目标对所拍摄图像造成的局部运动模糊,建立了运动速度与图像上运动模糊尺度、目标距离以及曝光时间等相机参数间的对应关系,提出了一种局部运动模糊点扩展函数的参数辨识算法。目标运动方向信息由傅里叶频谱和Radon变换得到。当运动模糊方向调整为水平后,经图像分割,改造的Prewitt算子进行边缘检测,二值图像与边缘图像对应区域上各行进行自相关三个步骤,运动尺度由统计信息确定,并在此基础上完成目标速度的测量。实验结果表明,本文算法对形体较为复杂目标的局部运动模糊参数辨识具有良好的效果,实验测得的运动速度与实际平均速度的误差都在7%以内,有利于自动完成,具有较好的实时性。

For the partial motion blur caused by motion object in static background, the corresponding relationship among the object velocity, motion blur length, object range and camera parameter such as exposure time is built. A novel algorithm of parameter identification for partial motion blur is proposed. The information of target motion direction is given by Fourier spectrum and Radon transformation, and then the motion direction is adjusted to horizontal direction Through the image segmentation and binarization, edge detection using the reconstructive Prewitt operator and self-correlation each row in the region of edge image corresponding to the binary image, the motion blur length is given by the statistical information. Moreover, the object velocity is measured. The experimental results show that our method is effective even though the object shape is complex. Between the estimated object velocity and the real average velocity, the experiment errors are all less than 7%. In addition, our method is propitious to auto completion, and has a good real-time performance.