EBC Feature Tracking with a Kalman Filter
Object tracking has become an important area of study due to the increment of autonomous systems equipped with cameras to perceive and interpret their surrounding environment. However, not many tracking algorithms have been developed for event-based cameras. This project aims to modify the existing Multiple Object Tracker Deep SORT to track corner events gathered by an Event Based Camera.