模板更新策略是匹配跟踪算法成败的关键,为了提高基于模板匹配跟踪算法的性能,在分析多种模板更新算法的基础上,给出使用Kalman滤波器更新模板的方法。该方法不再将模板图像视为一个整体,而是使用Kalman滤波器对模板图像逐像素点进行更新,以得到自适应和最佳的目标模板图像,使匹配跟踪算法的性能得到很大提高,特别对于目标被遮挡、目标姿态变化以及环境照度变化有很强的适应性。对匹配算法的改进和遮挡的处理使该算法的性能得到进一步提高。实验结果表明该方法行之有效。 The strategy of template updating is the key to match the success or failure of the tracking algorithm. In order to improve the performance of the algorithm based on template matching tracking, a method of updating the template using Kalman filter is given based on the analysis of many template updating algorithms. Instead of considering the template image as a whole, this method updates the template image pixel by pixel by using Kalman filter to get the adaptive and optimal target template image, which greatly improves the performance of the matching tracking algorithm, Especially for the target is blocked, the target attitude changes and environmental illumination changes have strong adaptability. The improvement of the matching algorithm and the processing of the occlusion further improve the performance of the algorithm. Experimental results show that this method is effective.