[1]范恩,谢维信,刘宗香.基于子航迹Hough变换的模糊航迹关联[J].深圳大学学报理工版,2013,30(No.6(551-660)):551-556.[doi:10.3724/SP.J.1249.2013.06551]
 Fan En,Xie Weixin,and Liu Zongxiang.Fuzzy track association using tracklet-based Hough transform[J].Journal of Shenzhen University Science and Engineering,2013,30(No.6(551-660)):551-556.[doi:10.3724/SP.J.1249.2013.06551]
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基于子航迹Hough变换的模糊航迹关联()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第30卷
期数:
2013年No.6(551-660)
页码:
551-556
栏目:
电子与信息科学
出版日期:
2013-09-30

文章信息/Info

Title:
Fuzzy track association using tracklet-based Hough transform
文章编号:
20130601
作者:
范恩谢维信刘宗香
1) 西安电子科技大学电子工程学院,西安 710071
2) 深圳大学ATR国防科技重点实验室,深圳 518060
Author(s):
Fan En Xie Weixin and Liu Zongxiang
1) School of Electronic Engineering, Xidian University, Xi’an 710071, P.R.China
2) ATR Key Laboratory of National Defense Technology, Shenzhen University, Shenzhen 518060, P.R.China
关键词:
信息处理技术多目标跟踪航迹关联最大熵模糊聚类Hough变换子航迹
Keywords:
information processing technology multi-target tracking track association maximum entropy fuzzy clustering Hough transform tracklet
分类号:
TP 391
DOI:
10.3724/SP.J.1249.2013.06551
文献标志码:
A
摘要:
针对多局部节点的航迹关联问题,提出一种基于子航迹Hough变换的模糊航迹关联方法.将融合中心相邻时刻的同源局部状态估计定义为子航迹,利用Hough变换将同一时段的所有子航迹映射为参数空间中一组点集,以最大熵模糊聚类实现子航迹-系统航迹关联.实验结果表明,在多局部节点情况下,该算法能实现子航迹-系统航迹关联,减少系统航迹的平均更新时间,满足系统的实时处理要求,与传统的航迹关联算法相比,具有较快的关联处理速度.
Abstract:
A fuzzy track association method using tracklet-based Hough transform(THT-FTA) is proposed to solve track association problems of multiple local nodes. The proposed method defines two local state estimates from the same target in two successive times as a tracklet in the fusion center. All tracklets in the same time interval are mapped into a set of points in parameter space by the use of Hough transform, and the association between tracklets and system tracks is realized by the maximum entropy clustering method. The experimental results illustrate that the proposed method is able to realize tracklet-to-system track association, reduce the average update time of system tracks and satisfy the real-time processing requirement. It achieves higher association processing rate than the traditional method.

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备注/Memo

备注/Memo:
Received:2013-09-12;Accepted:2013-10-20
Foundation:National Natural Science Foundation of China (61271107, 61301074)
Corresponding author:Professor Xie Weixin. E-mail:wxxie@szu.edu.cn
Citation:Fan En, Xie Weixin, Liu Zongxiang. Fuzzy track association using tracklet-based Hough transform[J]. Journal of Shenzhen University Science and Engineering, 2013, 30(6): 551-556.(in Chinese)
基金项目:国家自然科学基金资助项目 (61271107, 61301074)
作者简介:范恩 (1982-),男 (汉族),湖北省武汉市人,西安电子科技大学博士研究生.E-mail: efan@stu.xidian.edu.cn
引文:范恩,谢维信,刘宗香.基于子航迹Hough变换的模糊航迹关联[J]. 深圳大学学报理工版,2013,30(6):551-556.
更新日期/Last Update: 2013-11-20