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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.
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.
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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