提出一种多尺度理论与无味卡尔曼滤波

器(UKF)相结合的视频跟踪改进算法。利用多尺度理论统计跟踪窗内的信息量，使用 UKF 对得到的信息量进行预测，通过修正后的信息量

计算窗口变化比例系数，对尺度任意变化的目标进行跟踪。-An novel

method is proposed that is multi-scale space theory combined with Unscented Kalman Filter(UKF). UKF filter is introduced to predict the

information in the tracking window which is calculated by the multi-scale space theory. The proportion of the target image area is got by the

modified information. It is implemented by the combination of the Mean-Shift tracking algorithm and UKF to track targets.