NDLI: Classification of micro-Doppler signatures of human motions using log-Gabor filters

Content Provider	IET Digital Library
Author	Tivive, Fok Hing Chi Phung, Son Lam Bouzerdoum, Abdesselam
Abstract	In recent years, Doppler radar has been used as a sensing modality for human gait recognition, due to its ability to operate in adverse weather and penetrate opaque obstacles. Doppler radar captures not only the speed of the target, but also the micro-motions of its moving parts. These micro-motions induce frequency modulations that can be used to characterise the target movements. However, a major challenge in Doppler signal processing is to extract discriminative features from the radar returns for target classification. This study presents a feature extraction method for classification of human motions from the micro-Doppler radar signal. The proposed method applies the log-Gabor filters at multiple spatial frequencies and orientations on a joint time–frequency representation. To achieve invariance to the target speed, features are extracted from local patches along the torso Doppler shift. Then, the (2D)2PCA (two-directional two-dimensional principal component analysis) method is applied to create a compact feature vector. Experimental results based on real radar data obtained from multiple human subjects demonstrate the effectiveness of the proposed approach in classifying arm motions.
Starting Page	1188
Ending Page	1195
Page Count	8
ISSN	17518784
Volume Number	9
e-ISSN	17518792
Issue Number	Issue 9, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/9/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0113
Journal	IET Radar, Sonar & Navigation
Publisher	The Institution of Engineering and Technology
Publisher Date	2015-12-01
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	2D PCA Method Doppler Radar Doppler Signal Processing Feature Extraction Filtering Method in Signal Processing Frequency Modulations Gabor Filter Gait Analysis Human Gait Recognition Human Motions Image Classification Joint Time-frequency Representation Log-Gabor Filter Mathematical Analysis Micro-Doppler Signatures Micro-motions Radar Equipment Radar Signal Processing System And Application Target Classification Time-frequency Analysis Torso Doppler Shift Two-directional Two-dimensional Principal Component Analysis Method
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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