2022
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?
ECCV 2022poster
"Most (3D) multi-object tracking methods rely on appearance-based cues for data association. By contrast, we investigate how far we can get by only encoding geometric relationships between objects in 3D space as cues for data-driven data association. We encode 3D detections as nodes in a graph, wher…