视频目标跟踪算法近年来成为越来越多研究者关注的热点。

Visual object tracking has been a hot topic among more and more researchers in recent years.

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近年来，非刚体目标跟踪技术作为视频目标跟踪中的一个难点受到了广泛关注。

Recently, as a difficult problem in video object tracking non-rigid object tracking has received much more attention.

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通过粒子滤波技术，研究了如何整合颜色特征、前景信息和积分图运算等技术实现视频目标跟踪的粒子滤波算法。

After studying particle filter technology, a moving object tracking algorithm based on a particle filter was developed, integrating foreground information, color features and an integral image method.

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