Motion blur is the result when the camera shutter remains open for an extended period of time and a relative motion between camera and object occurs. Most research on this type of image degradation is focused on motion blur removal. In this work, we propose a novel approach for vehicle speed detection based on motion blurred images. The motion blur parameters are first estimated from the acquired images and then used to detect the speed of the moving object in the scene. We have established a link between the motion blur information of a 2D image and the speed information of a moving object. Experimental results are presented for both indoor environments and outdoor vehicle speed detection.
['Huei-Yung Lin', 'Kun-Jhih Li']
Motion blur removal and its application to vehicle speed detection