Algorithm for Video Moving Object Segmentation   Based on Local Motion Similarity

doi:10.3969/j.issn.1000-3428.2007.16.060

Computer Engineering ›› 2007, Vol. 33 ›› Issue (16): 172-174. doi: 10.3969/j.issn.1000-3428.2007.16.060

• Artificial Intelligence and Recognition Technology • Previous Articles Next Articles

Algorithm for Video Moving Object Segmentation Based on Local Motion Similarity

LIU Long, LIU Ding

(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

基于运动相似性的运动对象分割算法

刘　龙，刘　丁

(西安理工大学自动化与信息工程学院，西安 710048)

Abstract

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

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

CLC Number:

TP312

LIU Long; LIU Ding. Algorithm for Video Moving Object Segmentation Based on Local Motion Similarity[J]. Computer Engineering, 2007, 33(16): 172-174.

刘　龙;刘　丁. 基于运动相似性的运动对象分割算法[J]. 计算机工程, 2007, 33(16): 172-174.

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