Image motion-blur-based object's speed measurement using an interlaced scan image

In motion-blur-based speed measurement, a key step is the calculation of the horizontal blur extent. To perform this calculation robustly and accurately when both a defocus blur and a motion blur occur, and for a moving object with irregular shape edges, we propose a novel scheme using the image matting and 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. Moreover, our novel scheme can also perform speed measurement for an object with uniformly accelerated/retarded motion (i.e. a rigid body linear motion with a constant acceleration) by using one interlaced scan CCD image. Simulation and real experiments prove that our scheme not only outperforms the current scan-line algorithm for blur extent computation, but can also perform speed measurement accurately for uniformly accelerated/retarded motion.