Person identification based on mm-wave radars

Abstract

Well-known approaches to person identification (PID) from afar are based on face recognition or gate detection using a camera. The former is privacy-violating while both suffer from camera poor performance in low/intense light and harsh weather conditions. Mm-wave radars, on the other hand, are proven to be a privacy-friendly robust solution in many applications, including object detection/classification. In this paper, we propose two approaches to radar-based PID using micro-Doppler (MD) analysis and inverse synthetic aperture radar (ISAR). The proposed approaches are evaluated in PID within a family of five members. The results show the great potential of the mm-wave technology in PID applications.