After divided, the foreground and background regions which have biggish gray difference will belong to different regions, therefore the method can solve the problem mentioned before.
本文的方法以图像分割之后的区域为匹配基元，灰度相差较大的前景和背景区域分割之后将归属于不同区域，所以能较好的解决该问题。
Compared with the results based on traditional gray background difference, the method in this thesis has realized precise tracking of single object and multi-object with simple occlusion.
通过与传统的基于灰度背景差分方法的结果进行对比发现，本文采用的方法可以比较精确的实现对单个和多个目标以及简单遮挡情况下的跟踪。
This method starts from relative position of stars and avoids from removing stars by gray difference.
该方法从恒星之间的相对位置入手，避开通过灰度差分消减恒星的过程。
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