Target Tracking Method based on Scale-Adaptive Rotation Kernelized Correlation Filter for Through-the-Wall Radar

Through-the-wall radar (TWR) can track moving human targets in obscured spaces, providing real-time information to operators. Changes in the position and angle of targets during movement will lead to diversity in the scale and orientation of the radar images, causing difficulty in target tracking. In order to solve this problem, this letter proposes a TWR target tracking method based on scale-adaptive rotation kernelized correlation filter (SA-RKCF). In the proposed method, the size and angle of the target region are both estimated, which are used for training samples generation and correlation filter updating. The candidate target region of current frame is delineated based on the geometric information of the previous frame, and then the correlation filter is used to localize the target position. The effectiveness of the proposed method is verified using both numerical simulation and experiment.