[1]张波,罗海勇,胡广大,等.多媒体传感器网络中被动目标定位算法[J].东南大学学报(自然科学版),2011,41(2):266-269.[doi:10.3969/j.issn.1001-0505.2011.02.010]
 Zhang Bo,Luo Haiyong,Hu Guangda,et al.Passive target localization algorithm for multimedia sensor networks[J].Journal of Southeast University (Natural Science Edition),2011,41(2):266-269.[doi:10.3969/j.issn.1001-0505.2011.02.010]
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多媒体传感器网络中被动目标定位算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
41
期数:
2011年第2期
页码:
266-269
栏目:
计算机科学与工程
出版日期:
2011-03-20

文章信息/Info

Title:
Passive target localization algorithm for multimedia sensor networks
作者:
张波12罗海勇2胡广大1刘冀伟1赵方3
(1北京科技大学信息工程学院,北京 100083)
(2中国科学院计算技术研究所,北京 100190)
(3北京邮电大学软件学院,北京 100876)
Author(s):
Zhang Bo12Luo Haiyong2Hu Guangda1Liu Jiwei1Zhao Fang3
(1 Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China)
(2 Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China)
(3 School of Software Engineering,Beijing University of Posts and Telecommunications,Beijing 100876, China)
关键词:
多媒体传感器网络协作定位Hough变换正弦曲线拟合最小二乘
Keywords:
multimedia sensor networks collaboratively localization Hough transform sine curve fitting least squares
分类号:
TP391
DOI:
10.3969/j.issn.1001-0505.2011.02.010
摘要:
针对被动目标定位问题,提出了一种多视觉感知节点协同定位算法.与传统的视觉目标定位方法不同,该算法无需进行训练或特征识别,而是各个节点基于机器视觉理论,将目标投影为定位平面上的一条直线,并使用Hough变换将该直线映射为Hough空间中的一个离散点,最后对离散点进行正弦曲线拟合,拟合参数即为目标的最终位置估计.根据视觉感知节点所处高度及分辨率引入置信度参数,进一步提高了多视觉感知节点协同定位算法精度.最后分析了算法的时间复杂度,并通过实验验证了该算法可以获得5 cm以上的定位精度.
Abstract:
A multi visual sensor node collaborative localization algorithm is proposed for the passive target positioning problem. Different from traditional localization methods based on vision, this method doesn’t need training or feature recognition. Based on machine vision theory, every node projects the target to be a straight line on the ground plane, and then the line is mapped to be a discrete point in Hough spaces using Hough transform. Finally these points are fitted to be a sine curve, and the fitting parameters are the target position estimation. In addition, the accuracy of multi visual sensor node collaborative localization algorithm is further improved by introducing confidence parameter based on the height and resolution of visual sensor node. Finally, time complexity is analyzed, and experiments confirm that this algorithm can obtain a localization accuracy better than 5 cm.

参考文献/References:

[1] 马华东,陶丹.多媒体传感器网络及其研究进展[J].软件学报,2006,17(9):2013-2028.
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备注/Memo

备注/Memo:
作者简介:张波(1984—),男,博士生;胡广大(联系人),男,博士,教授,博士生导师,ghu@hit.edu.cn.
基金项目:国家自然科学基金资助项目(60873244,60973110,60772070)、国家高技术研究发展计划(863计划)资助项目(2009AA011902)、北京市自然科学基金资助项目(4102059) 、工业和信息化部重大专项资金资助项目(2010ZX03006-002-03).
引文格式: 张波,罗海勇,胡广大,等.多媒体传感器网络中被动目标定位算法[J].东南大学学报:自然科学版,2011,41(2):266-269.[doi:10.3969/j.issn.1001-0505.2011.02.010]
更新日期/Last Update: 2011-03-20