期刊文献+

物联网室内运动目标协作信息融合跟踪方法 被引量:27

Indoor moving target tracking method based on collaborative information fusion in Internet of Things
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摘要 物联网领域室内运动目标识别与跟踪是当今研究与应用的热点。提出一种基于RFID识别定位技术与CCD视频信息相融合的室内运动目标识别跟踪方法。首先利用RFID及提出的扩展虚拟参考标签定位方法对目标进行身份识别与粗定位,利用此信息指导多CCD开启或休眠,应用背景差分法对CCD监控图像检测目标并进行多视角融合实现较精确定位,最后通过加权平均得到运动目标位置。该方法融合了RFID快速识别定位及CCD视频定位准确的优点,实验结果表明,提出协作信息融合方法可有效提高室内目标跟踪准确度与实时性。 Indoor moving target recognition and tracking in Intemet of Things is a popular research and application topic in recent years. This paper proposes an indoor moving target recognition and tracking method based on RFID and CCD collaborative information fusion. First, RFID technique and the proposed extended VIRE approach are used to recognize and coarsely locate the target. Second, based on the coarse localization results, the monitoring/sleeping control of different CCDs is realized. Then background difference method is used to detect the target in CCD monitoring image and realize precise localization with multiple angle of view fusion. Finally, with weighted average of the two localization results the moving target location is obtained. The method combines the advantages of RFID fast recognition and localization and CCD precise localization. The experiment results indicate that the proposed collaborative information fusion method can effectively improve the accuracy and real time performance of indoor moving target tracking.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2013年第2期352-358,共7页 Chinese Journal of Scientific Instrument
基金 国家自然科学基金(61272428) 教育部博士点基金(20120002110067)资助项目
关键词 物联网 RFID技术 CCD图像处理 协作信息融合 扩展虚拟参考标签定位 Intemet of Things RFID technology CCD image processing collaborative information fusion extended VIRE
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参考文献16

  • 1KAMOL P,NIKOLAIDIS S,UEDA R. RFID based object localization system using ceiling cameras with particle filter[J].Future Generation Communication and Networking,2007,(01):37-42.
  • 2王勇,王雪,孙欣尧.基于稀疏信号重构的无线传感网络目标定位[J].仪器仪表学报,2012,33(2):362-368. 被引量:24
  • 3NI L M,ZHANG D,SOURYAL M R. RFID-based localization and tracking technologies[J].IEEE Transactions on Wireless Communications,2011,(02):45-51.
  • 4王沁,何杰,张前雄,刘冰峰,于彦伟.测距误差分级的室内TOA定位算法[J].仪器仪表学报,2011,32(12):2851-2856. 被引量:50
  • 5MATHIEU B,DOS SANTOS A L. RFID tags:Positioning principles and localization techniques[A].2008.1-5.
  • 6SAAB S S,NAKAD Z S. A standalone RFID indoor positioning system using passive tags[J].IEEE Transactions on Industrial Electronics,2011,(05):1961-1970.
  • 7ARDEVAN B,BENO B. An active vision system for multitarget surveillance in dynamic environments[J].IEEE Transactions on Systems Man and Cybernetics,2007,(01):190-198.
  • 8CHOI B S,LEE J W,LEE J J. A hierarchical algorithm for indoor mobile robot localization using RFID sensor fusion[J].IEEE Transactions on Industrial Electronics,2011,(06):2226-2235.
  • 9NI L M,LIU Y H,LAU Y C. LANDMARC:Indoor location Sensing Using Active RFID[J].Wireless Networks,2004,(06):701-710.doi:10.1023/B:WINE.0000044029.06344.dd.
  • 10ZHAO Y.Y,LIU Y H,NIL M. VIRE:Active RFIDbased localization using virtual reference elimination[A].2007.56.

二级参考文献31

  • 1KANAAN M, PAHLAVAN K. A comparison of wireless geolocalization algorithms in the indoor environment [ J ]. IEEE Wireless Communications and Networking Confer- ence (WCNC), Atlanta, GA, USA, 2004.
  • 2IEEE 802.15.4A Standard[S] 2007.
  • 3ALAVI B, PAHLAVAN K. Analysis of undetected direct path in time-of-arrival based UWB indoor geolocation [ C ].. 62nd Semiannual IEEE Vehicular Technology Conference, IEEE-VTC, 2005.
  • 4WANN C D, CHIN H C. Hybrid TOA/RSSI wireless lo- cation with unconstrained nonlinear optimization for in- door UWB channels [ C ]. IEEE Wireless Communications and Networking Conference( WCNC), 2007.
  • 5HEIDARI M. Identification and modeling of the dynamic be- havior of the direct path component in ToA-based indoor local- ization systems[D]. Worcest Polytechnic Institute,2008.
  • 6HE J, WANG Q. A pratical RSSI based indoor TOA ran- ging error model for localization algorithm [ C 1. IEEE 22th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2011.
  • 7Nanotron Corporation. NanoLOC development Kit 1. 0 factsheet[ M]. 2007.
  • 8PAHLAVAN K, KRISHNAMURTHY P, BENEAT J. Wide- band radio propagation modeling for indoor geolocation ap- plications[J]. IEEE Communications Magazine, 1998(4).
  • 9ALAVI B, PAHLAVAN K, Analysis of undetected direct path in time-of-arrival based UWB indoor geolocation [ C]. 62nd Semiannual IEEE Vehicular Technology Con- ference, IEEE-VTC, 2005.
  • 10ALAVI B, PAHLAVAN K, AISINDI N, et al. Using UWB measurements for statistical analysis of the ranging error in indoor multipath environment [ J ]. International Journal of Wireless and Optical Communications (IJWOC), 2006.

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