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计算机工程 ›› 2007, Vol. 33 ›› Issue (16): 172-174. doi: 10.3969/j.issn.1000-3428.2007.16.060

• 人工智能及识别技术 • 上一篇    下一篇

基于运动相似性的运动对象分割算法

刘 龙,刘 丁   

  1. (西安理工大学自动化与信息工程学院,西安 710048)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-08-20 发布日期:2007-08-20

Algorithm for Video Moving Object Segmentation Based on Local Motion Similarity

LIU Long, LIU Ding   

  1. (College of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-08-20 Published:2007-08-20

摘要: 由于全局运动参数在一些情况下不能很准确地被估计,因此基于全局运动补偿算法存在一定的局限性。该文提出了一种基于运动相似性的视频运动对象的分割算法。该算法对运动矢量场进行累加和滤波处理,根据运动相似性对运动对象进行初次分割,并利用空间相关性进行二次分割,细化运动对象边缘。实验结果表明该算法避免了全局运动补偿算法的局限性,并使分割的精确性有明显提高。

关键词: 分割, 运动对象, 运动矢量

Abstract: In order to overcome the shortage of global motion compensation algorithm in video object segmentation, a new algorithm, which is based on local motion similarity is proposed. The motion vectors are processed by accumulation and median filter; the first segmentation of moving video object is executed according to local motion similarity and the spacial relativity is used for second segmentation; the edge of video moving object is made more exactly. Experimental results of different video sequence show the proposed algorithm has a better veracity of segmentation compared with other algorithms.

Key words: segmentation, video moving object, motion vector

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