背景与目标一样是作为检测对象考虑的，而不应作为噪声源考虑。

The background is a detected object as the target, and it can't served as a source of noise.

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现有的许多显著目标检测算法，大都依赖像素间的相互关系，而缺乏对焦点对象特征的理解。

Many existing detecting algorithms of salient object mostly depend on the relationship between the pixels and lack the comprehension of salient object features.

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实验结果表明，该算法正确检测运动对象的精度高，能够检测出慢速物体和小目标的运动，并较好地解决了遮挡问题。

The experimental results show that the algorithm can detect moving objects precisely, including slow or little objects, and also solve the occlusions preferably.

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