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Real-time People Tracking and Identification from Sparse mm-Wave Radar Point-clouds
2021
IEEE Access
Mm-wave radars have recently gathered significant attention as a means to track human movement and identify subjects from their gait characteristics. A widely adopted method to perform the identification is the extraction of the micro-Doppler signature of the targets, which is computationally demanding in case of co-existing multiple targets within the monitored physical space. Such computational complexity is the main problem of state-of-the-art approaches, and makes them inapt for real-time
doi:10.1109/access.2021.3083980
fatcat:ub6ylgaxxbbgzjtdgpiirtwpaa