Automatic human micro-Doppler signature separation by Hough transform

Jun Zhang; Tian Jin; Lei Qiu; Zhimin Zhou

doi:10.1117/12.2231542

17 December 2015 Automatic human micro-Doppler signature separation by Hough transform

Jun Zhang, Tian Jin, Lei Qiu, Zhimin Zhou

Proceedings Volume 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis; 98111D (2015) https://doi.org/10.1117/12.2231542
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

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.

Citation Download Citation

Jun Zhang, Tian Jin, Lei Qiu, and Zhimin Zhou "Automatic human micro-Doppler signature separation by Hough transform", Proc. SPIE 9811, MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 98111D (17 December 2015); https://doi.org/10.1117/12.2231542

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