视频序列首先被分成一个个的镜头，在每个镜头内对视频对象进行分割和跟踪。

Video sequences are divided into shots first, in which video objects segmentation and tracking are implemented.

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针对视频图像中单个运动对象的分割和跟踪问题，提出了一种基于时空离散度的视频对象分割跟踪算法。

To solve the problem in segmentation and tracking the moving object in video sequence, a novel moving object segmentation and tracking approach is proposed based on spatial-temporal dispersions.

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实验结果表明，该方法能有效地分割和跟踪视频运动对象，且能有效减少计算复杂度，其调整参数也较少。

Experimental results demonstrate that this method is effective to segment and track video moving objects. More, the number of parameters updated is the least.

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