A Tracking-by-Detection 3D MOT system using an Interacting Multiple Model filter, damping-window trajectory scoring, and distance-based score reweighting reports 73.8% AMOTA on nuScenes Val, 0.1% above Fast-Poly.
ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking,
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IMM-MOT: A Novel 3D Multi-object Tracking Framework with Interacting Multiple Model Filter
A Tracking-by-Detection 3D MOT system using an Interacting Multiple Model filter, damping-window trajectory scoring, and distance-based score reweighting reports 73.8% AMOTA on nuScenes Val, 0.1% above Fast-Poly.