Object’s translational speed measurement using motion blur information

Abstract In a motion blur based speed measurement work, a key step is the calculation for the horizontal blur extent. To fulfill this calculation when both a defocus blur and a motion blur occur and for a moving object with irregular shape edges robustly and accurately, we propose a novel scheme using the image matting and the transparency map. This scheme can isolate the defocus blur from the motion blur effectively and can also calculate the horizontal blur extent accurately regardless of the object’s shape. The simulation and real experiments prove that our scheme outperforms the current scan-line algorithm for the blur extent computation so as to fulfill the speed measurement more robustly and accurately.