Multiperson tracking with a network of ultrawideband radar sensors based on gaussian mixture PHD filters
Date
2015Source 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
ArticleItem 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 detectionPHD 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/11693/22148Published Version (Please cite this version)
http://dx.doi.org/10.1109/JSEN.2014.2372312Collections
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