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Human detection and tracking via Ultra-Wideband (UWB) radar

Chang, SangHyun and Wolf, Michael and Burdick, Joel W. (2010) Human detection and tracking via Ultra-Wideband (UWB) radar. In: 2010 IEEE International Conference on Robotics and Automation. IEEE , Piscataway, NJ, pp. 452-457. ISBN 978-1-4244-5038-1.

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This paper presents an algorithm for human presence detection and tracking using an Ultra-Wideband (UWB) impulse-based mono-static radar. UWB radar can complement other human tracking technologies, as it works well in poor visibility conditions. UWB electromagnetic wave scattering from moving humans forms a complex returned signal structure which can be approximated to a specular multi-path scattering model (SMPM). The key technical challenge is to simultaneously track multiple humans (and non-humans) using the complex scattered waveform observations. We develop a multiple-hypothesis tracking (MHT) framework that solves the complicated data association and tracking problem for an SMPM of moving objects/targets. Human presence detection utilizes SMPM signal features, which are tested in a classical likelihood ratio (LR) detector framework. The process of human detection and tracking is a combination of the MHT method and the LR human detector. We present experimental results in which a mono-static UWB radar tracks human and non-human targets, and detects human presence by discerning human from moving non-human objects.

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Additional Information:© 2010 IEEE. This work was not supported by the LIG Nex1 Corporation, Yongin, Korea, and the Agency for Defense Development (ADD), Seoul, Korea
Record Number:CaltechAUTHORS:20170315-174314541
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Official Citation:S. Chang, M. Wolf and J. W. Burdick, "Human detection and tracking via Ultra-Wideband (UWB) radar," 2010 IEEE International Conference on Robotics and Automation, Anchorage, AK, 2010, pp. 452-457. doi: 10.1109/ROBOT.2010.5509451
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:75167
Deposited By: Kristin Buxton
Deposited On:16 Mar 2017 16:32
Last Modified:03 Oct 2019 16:47

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