Recurrent Autoregressive Networks for Online Multi-object Tracking
Recurrent Autoregressive Networks for Online Multi-object Tracking
The main challenge of online multi-object tracking is to reliably associate object trajectories with detections in each video frame based on their tracking history. In this work, we propose the Recurrent Autoregressive Network (RAN), a temporal generative modeling framework to characterize the appearance and motion dynamics of multiple objects over …