Based on level set method and background subtraction, this paper proposed an approach to (realize) robust detection and segmentation of multiple motion objects.
给出了一种对光照变化等实际环境中干扰不敏感的基于水平集和背景减的运动目标检测与分割方法。
Change detection, mapping parameter estimation, moving objects and background detection are used to implement image motion segmentation.
通过变化检测，映射参数估算，运动区域和背景检测来实现运动分割。
Segmentation of motion objects based on graph cuts and C-V model;
将两种基于图论的算法图切割与随机游走应用于运动对象的分割。
This topic which can also be extended to non-rigid objects, three or more view motion segmentation and so on has broad prospects for development.
本课题还可扩展到非刚性物体、三视或多视运动分割等，具有广阔的发展前景。
This topic which can also be extended to non-rigid objects, three or more view motion segmentation and so on has broad prospects for development.
本课题还可扩展到非刚性物体、三视或多视运动分割等，具有广阔的发展前景。
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