摘要
提出了一种基于时、空分割融合的视频对象分割算法.时间分割采用变化检测, 其关键的阈值选取通过直方图分析得到.空间分割采用小波域的分水岭变换算法.时、空分割融合采用基于区域的双向投影策略.实验结果表明,本算法可比COST211 AM参考分割取得更好的分割结果.
An automatic video object segmentation algorithm based on spatio-temporal informtion was proposed. Temporal segmentation was based on change detection, whose key factor was the selection of appropriate threshold by histogram analysis. For spatial segmentation, watershed transformation was performed in the wavelet domain. The fusion of the spatio-temporal segmentation was based on a bi-directional projection approach. Experimental results have shown that it can achieve more desirable results than COST211 AM.
出处
《湖南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2005年第5期108-113,共6页
Journal of Hunan University:Natural Sciences
基金
湖南省自然科学基金资助项目(05JJ30113)湖南大学校基金资助项目(2005)
关键词
视频对象提取
小波分解
分水岭变换
区域投影
video object extraction
discrete wavelet transform
watershed
region projection