中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 光电信息技术研究室  > 期刊论文
题名: 一种基于SAD的相关跟踪有效性判断方法
其他题名: A Correlation Tracking Validity Judging Method Based on SAD
作者: 冯俊惠; 肖阳辉; 王恩德; 杨凯
作者部门: 光电信息技术研究室
关键词: 相关跟踪 ; SAD ; 有效性判断
刊名: 微电子学与计算机
ISSN号: 1000-7180
出版日期: 2015
卷号: 32, 期号:11, 页码:101-104, 110
收录类别: CSCD
产权排序: 1
摘要: 相关跟踪算法能在低信噪比、特征信息较少等条件下对目标进行准确跟踪,且操作简单,计算量小,但在遮挡发生、干扰出现、目标发生形变等情况下失效.在绝对差和法SAD相关跟踪的基础上,提出一种相关跟踪有效性判断方法,根据序列图像SAD矩阵最小值所在的邻域矩阵的相关值,进行有效性判断,以便对跟踪失效的图像采取进一步跟踪策略,从而提高了相关跟踪算法的鲁棒性和准确性.
英文摘要: Correlation tracking method is accurate when image has low signal-to-noise ratio or target has few feature information, and has simple and little calculation, however it will be invalid under the conditions of occlusion, false target jamming and target deformation. This paper proposes a correlation tracking validity judging method based on sum of absolute difference (SAD),selects the neighborhood region of minimum value in the SAD matrix of sequential images, calculates correlation value to judge tracking validity so as to use further tracking methods to the images tracking wrong, so improves robustness and accuracy of correlation tracking method.
语种: 中文
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/17234
Appears in Collections:光电信息技术研究室_期刊论文

Files in This Item:
File Name/ File Size Content Type Version Access License
一种基于SAD的相关跟踪有效性判断方法.pdf(344KB)期刊论文出版稿开放获取View Download

Recommended Citation:
冯俊惠,肖阳辉,王恩德,等. 一种基于SAD的相关跟踪有效性判断方法[J]. 微电子学与计算机,2015,32(11):101-104, 110.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[冯俊惠]'s Articles
[肖阳辉]'s Articles
[王恩德]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[冯俊惠]‘s Articles
[肖阳辉]‘s Articles
[王恩德]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: 一种基于SAD的相关跟踪有效性判断方法.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace