摘要
通过融合图像的颜色和梯度特征,实现了一种实时背景减除方法·首先融合颜色和梯度特征建立新的能量函数;然后基于图切割算法最小化能量函数,并对前景/背景进行分割;最后使用光流验证前景区域的真实性,并更新背景模型·对不同场景的实验结果表明:该方法可以实时地检测出视频序列中的运动物体,结果准确、有效·
Based on the fusion of color and gradient features, this paper implements a novel approach to real-time background subtraction. Firstly, an energy function is defined based on the fusion of color and gradient features. Secondly, the graph cuts based algorithm is employed to minimize energy function and segment the foreground. Finally, average optical flow is used to make inference about the validity of foreground regions, background models are then updated. The experimental results of different real scenes show that the proposed approach can produce real-time detection and promising results.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2006年第11期1741-1747,共7页
Journal of Computer-Aided Design & Computer Graphics
基金
国家科技攻关计划课题奥运科技专项(2001BA904B08)
国家重点基础研究发展规划项目(2004CB318000)
国家自然科学基金重点项目(60533090)
关键词
背景减除
颜色和梯度特征
能量函数
图切割
实时检测
background subtraction
color and gradient feature
energy function
graph cuts
real-time detection
