2016
Social force model aided robust particle PHD filter for multiple human tracking
ICASSP 2016accepted
In this paper, we propose a novel robust multiple human tracking approach based upon processing a video signal by utilizing a social force model to enhance the particle probability hypothesis density (PHD) filter. In traditional dynamic models, the states of targets are only predicted by their own h…