Multiple Object Tracking On Kitti Test Online

평가 지표

HOTA

IDSW

MOTA

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	HOTA	IDSW	MOTA	Paper Title	Repository
IMM-JHSE	79.21	177	89.8	One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimation
EagerMOT	74.39	239	87.82	EagerMOT: 3D Multi-Object Tracking via Sensor Fusion
mmMOT	62.05	-	84.77	Robust Multi-Modality Multi-Object Tracking
KFDL	81.06	22	90.29	-	-
LEGO	80.75	214	90.61	LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds	-
NOMT	-	-	78.15	Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor	-
QD-3DT	72.77	-	86.41	Monocular Quasi-Dense 3D Object Tracking
PMBM	-	-	80.39	Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering	-
JRMOT	69.61	-	85.70	JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
mmMOT-normal	-	-	84.77	Robust Multi-Modality Multi-Object Tracking
CenterTrack	73.02	-	89.44	Tracking Objects as Points
MDP	-	-	76.59	Learning to Track: Online Multi-Object Tracking by Decision Making	-
CIWT	-	-	75.39	Combined Image- and World-Space Tracking in Traffic Scenes	-
MCTrack	81.07	64	89.82	MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving
UCMCTrack	77.1	-	90.4	UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
NOMT-HM	-	-	75.20	Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor	-
PC-TCNN	80.90	37	78.46	-	-
SRK ODESA	-	-	90.03	Learning Local Feature Descriptors for Multiple Object Tracking	-
SCEA	-	-	75.58	Online Multi-Object Tracking via Structural Constraint Event Aggregation	-
DSM	-	-	76.15	End-to-end Learning of Multi-sensor 3D Tracking by Detection	-

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