| 摘要: |
| 视频图像中对运动目标进行分割是十分有意义的.传统的背景减除法和帧间差法在提取运动目标的时候各有自身难以克服的缺点.基于阈值、边缘、直方图的图像分割一般只适合于静态目标的分割.提出一种结合图像分割（Graph Cuts）和帧间差的新方法进行运动目标分割.帧间差法具有良好的稳健性，而Graph Cuts算法则弥补了帧间差无法获得完整运动信息的缺点.利用帧间差法得到不完整的运动信息对Graph Cuts进行分割约束可以准确、稳定地提取出运动目标. |
| 关键词: 帧间差法 图像分割 运动分割 |
| DOI：10.3969/J.ISSN.100-5137.2017.02.012 |
| 分类号: |
| 基金项目: |
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| A method of moving object segmentation based on inter frame difference and Graph Cuts |
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Chen Juan, Ying Jun, Wang Jian, Zeng Shuang
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Digital Community and Smart Home Research Center, College of Information Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China
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| Abstract: |
| Motion segmentation is meaningful video processing.Traditional method like background subtraction and frame difference shortcomings.Image segmentation based on threshold,EDGE histogram only used for static object segmentation.Frame difference method has good robutness and Graph Cuts can get complete motion.Segmentation of Graph Cuts is restricted by incomplete motion information provided by frame moving object can be extract accurately and stably. |
| Key words: frame difference Graph Cuts motion segmentation |
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