High Precision Human Detection and Tracking Using Millimeter-Wave Radars
Han Cui, Naim Dahnoun
Abstract
Millimeter-wave (mmWave) radar, as an emerging technique, is increasing in popularity for human activity recognition. In contrast to traditional sensors and radars, mmWave radars give detailed information on objects from the range domain to the Doppler domain. The short wavelength allows mmWave radars to achieve a high resolution and a small antenna size, but also makes them prone to noise. In this article, we present a system framework for human detection and tracking using mmWave radars. We show that mmWave radars have good performance in indoor environments, with over 90% sensitivity. We show that using a single radar can raise a large number of false alarms due to unstable data and noise. However, with two radars the precision of the system can be improved significantly.