Abstract: Human computer interactive target tracking is improved by combining adaptive background extraction in static backg-round with extend mean shift algorithm.Firstly build a background image in the complex background with a moving object and obtain initial object contour from the current image by frame-difference.When tracking by mean shift algorithm，the covariance matrix is added to mean shift，and it can solve the problem of the tracked object departure.The experiments indicate that the algorithm can track the object accurately and effectively.

摘要： 通过在静态背景模型下利用自适应背景提取和扩展均值漂移算法相结合的方法对人机交互式的目标跟踪作了进一步的改进。首先利用自适应的背景提取算法从带有运动目标的复杂背景中构建背景图，并提取出运动目标轮廓。在跟踪模块，在均值漂移算法的基础上加入协方差得到的扩展均值漂移可以很好地解决传统均值漂移算法在跟踪过程中因为目标的形状或大小改变而导致跟踪的框架偏离目标的问题。实验结果表明，该算法能够较好地实现自动、实时、较准确的跟踪目标效果。