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      Multiperson tracking with a network of ultrawideband radar sensors based on gaussian mixture PHD filters

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      Author
      Gulmezoglu, B.
      Guldogan, M. B.
      Gezici, Sinan
      Date
      2015
      Source Title
      IEEE Sensors Journal
      Print ISSN
      1530-437X
      Publisher
      Institute of Electrical and Electronics Engineers Inc.
      Volume
      15
      Issue
      4
      Pages
      2227 - 2237
      Language
      English
      Type
      Article
      Item Usage Stats
      122
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      116
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      Abstract
      In this paper, we investigate the use of Gaussian mixture probability hypothesis density filters for multiple person tracking using ultrawideband (UWB) radar sensors in an indoor environment. An experimental setup consisting of a network of UWB radar sensors and a computer is designed, and a new detection algorithm is proposed. The results of this experimental proof-of-concept study show that it is possible to accurately track multiple targets using a UWB radar sensor network in indoor environments based on the proposed approach. © 2014 IEEE.
      Keywords
      Multiple person detection
      PHD filter
      Communication channels (information theory)
      Probability density function
      Radar
      Radar equipment
      Sensor networks
      Target tracking
      Tracking radar
      Ultra-wideband (UWB)
      Detection algorithm
      Gaussian mixture phd
      Gaussian mixture probability hypothesis density filters
      Multi-person tracking
      Person detection
      PHD filters
      Track multiple targets
      Ultra wideband radars
      Radar tracking
      Permalink
      http://hdl.handle.net/11693/22148
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/JSEN.2014.2372312
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      • Department of Electrical and Electronics Engineering 3524
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