Multi-Camera Multi-Person Tracking Using Reinforcement Learning
The problem of multi-object-tracking in a network of cameras is an interesting and non-trivial problem. Given videos from a number of cameras the goal of Multi-Camera Multi-Object Tracking (MCMOT) is to find the full visible trajectory of each pedestrian from the videos as the pedestrians move across cameras. Compared to monocular tracking the main difficulties lie in associating pedestrian detect