Human Target Tracking for Small Aperture Through-wall Imaging Radar

In this paper, we deal with the problem of human target detecting and tracking exploiting MIMO through-wall imaging radar with a small aperture. We propose a novel human target tracking method under the mean shift tracking framework to track the scale variant human targets in the image domain, where the image moments are exploited to dynamically estimate the scale and orientation of the target image. Finally, numerical simulations as well as the real data validate the proposed algorithm.

[1]  Edward J. Baranoski.  Through-wall imaging: Historical perspective and future directions , 2008, J. Frankl. Inst..

[2]  M. Amin.  Through-the-Wall Radar Imaging , 2011 .

[3]  R. Burkholder,et al.  Coherence Factor Enhancement of Through-Wall Radar Images , 2010, IEEE Antennas and Wireless Propagation Letters.

[4]  Paolo Braca,et al.  Multiple Extended Target Tracking for Through-Wall Radars , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Lingjiang Kong,et al.  Multiple moving targets tracking for through-wall imaging radar , 2015, 2015 IEEE Radar Conference (RadarCon).

[6]  David D. Ferris,et al.  Survey of current technologies for through-the-wall surveillance (TWS) , 1999, Other Conferences.

[7]  D. Zhang,et al.  Scale and orientation adaptive mean shift tracking , 2012 .

[8]  Lingjiang Kong,et al.  Robust Multiple Human Targets Tracking for Through-wall Imaging Radar , 2018, 2018 21st International Conference on Information Fusion (FUSION).

[9]  Dorin Comaniciu,et al.  Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).