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

多目标卡尔曼滤波算法， 虽然使用了第三方库，但不影响对kalmen跟踪算法的理解。-Multi-objective Kalman filter algorithm, although the use of third-party libraries, but does not affect the kalmen tracking algorithm understanding.