Tracking Objects with 3D Representation from Videos

Understand

Data association is a knotty problem for 2D Multiple Object Tracking due to the object occlusion.

• However, in 3D space, data association is not so hard.
• Only with a 3D Kalman Filter, the online object tracker can associate the detections from LiDAR.
• In this paper, we rethink the data association in 2D MOT and utilize the 3D object representation to separate each object in the feature space.