介绍了视频遮挡情况下的目标跟踪算法，提出了一种基于概率外观模型型和condensation的跟踪算法，对学习多媒体的朋友有所帮助 -Video under occlusion target tracking algorithm is proposed based on the probability of appearance of the model type and condensation of the tracking algorithm, multimedia learning f

运动跟踪代码，多功能运动跟踪，，适合多物体跟踪，处理部分遮挡。 -Motion tracking code, sport utility tracking, suitable for multi-object tracking, handling partial occlusion.

采用粒子滤波，实现对动目标的视频跟踪。实现预测跟踪，抗目标遮挡。-Using particle filter, to achieve the goal of moving video tracking. Achieve predictive tracking, anti-target occlusion.

camshift+kalman，克服了camshift单一颜色跟踪的缺陷，kalman可以解决目标遮挡及颜色相近的问题-camshift+kalman，Overcoming the camshift single color tracking defect, kalman can solve the problem of target occlusion and color similarity