Paper Info
Title
People Tracking with UWB Radar Using a Multiple-Hypothesis Tracking of Clusters (MHTC) Method
Abstract
This paper presents a method to track multiple moving humans using Ultra-Wideband (UWB) radar. UWB radar can complement other human tracking technologies, as it works well in poor visibility conditions. Our tracking approach is based on a point process interpretation of the multi-path UWB radar scattering model for moving humans. Based on this model, we present a multiple hypothesis tracking (MHT) framework for tracking the ranges and velocities of a variable number of moving human targets. The multi-target tracking (MTT) problem for UWB radar differs from traditional applications because of the complex multipath scattering observations per target. We develop an MHT framework for UWB radar-based multiple human target tracking, which can simultaneously solve the complex observation clustering and data association problems using Bayesian inference. We present experimental results in which a monostatic UWB radar tracks both individual and multiple human targets to estimate target ranges and velocities, even with changing numbers of targets across radar scans.
Year
DOI
Venue
2010
10.1007/s12369-009-0039-x
I. J. Social Robotics
Keywords
Field
DocType
UWB radar,Human tracking,Tracking,Filtering,Multi-target tracking,Multiple hypothesis tracking
Radar,Continuous-wave radar,Computer vision,Visibility,Bayesian inference,Tracking system,Psychology,Filter (signal processing),Artificial intelligence,Low probability of intercept radar,Cluster analysis
Journal
Volume
Issue
ISSN
2
1
1875-4791
Citations 
PageRank 
References 
8
1.27
7
Authors
5
Name
Order
Citations
PageRank
SangHyun Chang1355.27
Rangoli Sharan2132.07
Michael T. Wolf3759.96
Naoki Mitsumoto4263.96
Burdick, J.W.52988516.87