Multiperson tracking with a network of ultrawideband radar sensors based on gaussian mixture PHD filters
Guldogan, M. B.
IEEE Sensors Journal
Institute of Electrical and Electronics Engineers Inc.
2227 - 2237
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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.
KeywordsMultiple person detection
Communication channels (information theory)
Probability density function
Gaussian mixture phd
Gaussian mixture probability hypothesis density filters
Track multiple targets
Ultra wideband radars
Published Version (Please cite this version)http://dx.doi.org/10.1109/JSEN.2014.2372312
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