Title :
Multiperson Tracking With a Network of Ultrawideband Radar Sensors Based on Gaussian Mixture PHD Filters
Author :
Gulmezoglu, Berk ; Guldogan, Mehmet Burak ; Gezici, Sinan
Author_Institution :
Dept. of Electr. & Comput. Eng., Worcester Polytech. Inst., Worcester, MA, USA
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.
Keywords :
Gaussian processes; indoor radio; mixture models; target tracking; ultra wideband radar; wireless sensor networks; Gaussian mixture PHD filters; Gaussian mixture probability hypothesis density filters; indoor environment; multiperson tracking; ultrawideband radar sensors; wireless sensor networks; Indoor environments; Radar tracking; Receivers; Sensors; Target tracking; Time measurement; Ultra wideband radar; Multiple person detection; PHD filter; radar; target tracking; ultra-wideband;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2014.2372312
