DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction

arXiv:2403.02075v1 Announce Type: new
Abstract: In Multiple Object Tracking, objects often exhibit non-linear motion of acceleration and deceleration, with irregular direction changes. Tacking-by-detection (TBD) with Kalman Filter motion prediction works well in pedestrian-dominant scenarios but falls short in complex situations when multiple objects perform non-linear and diverse motion simultaneously. To tackle the complex non-linear motion, we propose a real-time diffusion-based MOT approach named DiffMOT. Specifically, for the motion predictor component, we propose a novel Decoupled Diffusion-based Motion Predictor (D MP). …

abstract arxiv cs.cv detection diffusion diverse filter linear multiple non-linear objects pedestrian prediction real-time tracking type