一种基于结构张量的运动物体分割方法

计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (7): 54-56.

一种基于结构张量的运动物体分割方法

翟素兰^1,2,汤进¹,罗斌¹

1.安徽大学信号处理人工智能教育部重点实验室，合肥 230039
2.安徽大学数学与计算科学学院，合肥 230039

收稿日期:2007-06-25 修回日期:2007-08-15 出版日期:2008-03-01 发布日期:2008-03-01
通讯作者: 翟素兰

Motion object segmentation method based on tensor structure

ZHAI Su-lan^1,2,TANG Jin¹,LUO Bin¹

1．Key Laboratory of Intelligent Computing and Signal Processing，Anhui University，Hefei 230039，China
2．School of Mathematics and Computational Science，Anhui University，Hefei 230039，China

Received:2007-06-25 Revised:2007-08-15 Online:2008-03-01 Published:2008-03-01
Contact: ZHAI Su-lan

摘要/Abstract

摘要： 视频中运动物体的分割是众多视频应用的前提。视频可以看作是三维时空中的对象，通过邻域的灰度值的结构方向来分析视频的运动。提出了时空结构张量进行运动物体分割的方法。首先分析了视频中物体的运动与灰度的变化的关系，然后删除了三维结构张量中与时间无关的信息，并将此时空结构张量用于视频中运动物体的分割。实验表明时空结构张量运动物体分割方法相对于传统的结构张量，分割准确，计算简单。

Abstract: The segmentation of objects in video sequences constitutes a prerequisite for numerous applications ranging from computer vision tasks to second-generation video coding.A video sequence can be represented as a three-dimensional volume with two spatial and one temporal-coordinates.From this perspective，motion can be estimated by analyzing orientations of local gray-value structures using the three-dimensional structure tensor.In the paper，the correlation between the motion objects and gray value changing is analyzed，the spatial-temporal structure tensor is proposed and used to segment the motion objects.Experimental results demonstrate that the spatial-temporal structure tensor is efficient for the segmentation of motion object in contrast with the traditional structure tensor.

翟素兰^1,2,汤进¹,罗斌¹. 一种基于结构张量的运动物体分割方法[J]. 计算机工程与应用, 2008, 44(7): 54-56.

ZHAI Su-lan^1,2,TANG Jin¹,LUO Bin¹. Motion object segmentation method based on tensor structure[J]. Computer Engineering and Applications, 2008, 44(7): 54-56.