Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7345
Title: Radar Simulation of Human Micro-Doppler Signature from Video Motion Capture Data
Authors: Karabacak, Cesur
Gürbüz, Sevgi Zübeyde
Gürbüz, Ali Cafer
Keywords: radar
human micro-Doppler
simulation.
Issue Date: 2013
Publisher: IEEE
Source: 21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: The availability of data sets on which signal processing techniques may be tested is critical to the development of human detection, identification, and classification algorithms. However, in many cases real radar data of the desired characteristics may be expensive or difficult to obtain. In this case, synthetic or simulated data is desired. Much of the simulated data used in publications is derived from the Boulic kinematic model. But, the Boulic model is only valid for walking and is not applicable to compute the micro-Doppler signatures of other human motions. The Carnegie Mellon University motion capture library includes data from a wide range of human activities and provides the time-varying position of body parts. In this work, this video motion capture data is used to generate the radar micro-Doppler signature for many human activities. Observations about the micro-Doppler signatures computed are also shared.
URI: https://hdl.handle.net/20.500.11851/7345
ISBN: 978-1-4673-5563-6; 978-1-4673-5562-9
ISSN: 2165-0608
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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