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Proceedings Paper

Automatic human micro-Doppler signature separation by Hough transform
Author(s): Jun Zhang; Tian Jin; Lei Qiu; Zhimin Zhou
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Paper Abstract

The micro-Doppler signature is one of the most prominent information for target classification and identification. As Hough transform (HT) is an efficient tool for detecting weak straight target traces in the image, an HT based algorithm is proposed for micro-Doppler signature separation of multiple persons. Few seconds data is processed at one time to ensure human motion traces approximate to straight lines in the radar slow time-range image. Taking HT to the slow time-range image, each human’s motion trace can be recovered through recursively searching the peaks in HT space. Applying time-frequency transform to the range cells around each recovered line, the human micro-Doppler signature can be achieved and separated. Experimental results are given to illustrate the validity of the proposed algorithm.

Paper Details

Date Published: 17 December 2015
PDF: 6 pages
Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98111D (17 December 2015); doi: 10.1117/12.2231542
Show Author Affiliations
Jun Zhang, National Univ. of Defense Technology (China)
Tian Jin, National Univ. of Defense Technology (China)
Collaborative Innovation Ctr. of Information Sensing and Understanding (China)
Lei Qiu, National Univ. of Defense Technology (China)
Zhimin Zhou, National Univ. of Defense Technology (China)
Collaborative Innovation Ctr. of Information Sensing and Understanding (China)


Published in SPIE Proceedings Vol. 9811:
MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis
Jinxue Wang; Zhiguo Cao; Jayaram K. Udupa; Henri Maître, Editor(s)

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