Prediction and Correction of Target Track Based on Kalman Filter

In the moving object tracking system, the image process mainly includes the shape recognition and the determination of the object t racking which demands to search and match on the whole vision space. It is a type of global search problem which demands much time and it is difficult to accomplish the quick track. The difficulty of object tracking in complex background is how to speed up the colorful digital image sequence model matching process which usually has huge information and takes a long time. In order to solve this problem, this paper proposed the measure of prediction and correction of target track based on Kalman filter Finally,the paper gave the experiment result, which proved this method was an effective one.