A multi-target recognition algorithm for motion blur image in small-size RoboCup competition
RoboCup小型组比赛中多目标运动图像识别算法

It is difficult for the visual subsystem of RoboCup robot soccer competition, which is realized by an interleaved camera, to identify the motion target on the field because of the motion fuzzy phenomenon. A new multi-target recognition algorithm for vision subsystem was presented based on the principle of track forecast. First, the target location of next frame was forecasted by current location and the target pixels on odd and even scan line were found in the region of forecasted target location. Then, the horizontal and vertical velocity vectors of the motion target were computed. Finally the motion interpolation was used to get high vertical resolution progressive frames from interlaced frames. Multi-target identity was realized at the same time. The result shows that visual system's identification ability of motion target can be improved by using this method.