摘要
针对目前许多分割方法中分割边界不精确、计算复杂和缓存帧多等问题 ,提出了一种结合空间区域分割和运动象素检测的自动分割方法 :先将当前视频帧分割为不同的灰度连续区域 ,再利用二次帧差确定视频图像中的运动象素 ,然后按一定的规则确定哪些灰度连续区域属于运动区域 ,从而有效地从静止的复杂背景中分割出运动对象区域 .实验结果表明这种分割方法计算简单。
A spatio-temporal method which aims at segmenting moving objects from stationary background automatically and accurately was proposed. Three steps are followed steps in the algorithm. First, the current frame is segmented into connected regions of uninterrupted grey scale. Secondly, The intersections of each two neighbor defference images are gotten to judge which pixels are moving-pixels. Finally, those moving regions arc segmented from the stationary regions according to a certain rule. The experimental results show that the algorithm is effective in the segmenting moving objects front the stationary background accurately.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2002年第3期195-199,共5页
Journal of Infrared and Millimeter Waves
基金
国家自然科学基金 (编号 60 0 72 0 2 9)资助项目~~
