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Multiple Object Tracking

Multiple Object Tracking is the problem of automatically identifying multiple objects in a video and representing them as a set of trajectories with high accuracy.

Source: SOT for MOT

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 201–210 of 318 papers

Title	Date	Tasks	Status	Hype
TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking	Jan 6, 2021	Multiple Object TrackingObject	CodeCode Available	0
Multi-object Tracking with a Hierarchical Single-branch Network	Jan 6, 2021	Multi-Object TrackingMultiple Object Tracking	—Unverified	0
TransTrack: Multiple Object Tracking with Transformer	Dec 31, 2020	Multi-Object TrackingMultiple Object Tracking	CodeCode Available	1
GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking	Dec 28, 2020	Multiple Object TrackingObject Tracking	—Unverified	0
Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy Measure when Evaluating Mitosis	Dec 22, 2020	Cell TrackingMulti-Object Tracking	—Unverified	0
Accurate Object Association and Pose Updating for Semantic SLAM	Dec 21, 2020	Multiple Object TrackingObject	—Unverified	0
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking	Dec 3, 2020	Multiple Object TrackingObject Tracking	—Unverified	0
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos	Nov 26, 2020	Cell TrackingMultiple Object Tracking	CodeCode Available	0
GMOT-40: A Benchmark for Generic Multiple Object Tracking	Nov 24, 2020	Multiple Object TrackingObject	CodeCode Available	1
Learning Local Feature Descriptors for Multiple Object Tracking	Nov 20, 2020	Multiple Object TrackingObject	—Unverified	0

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All datasets KITTI Test (Online Methods)BDD100K val BDD100K test CroHD SportsMOT KITTI Test (Offline Methods)RADIATE Waymo Open Dataset GMOT-40 UA-DETRAC YouTube-Hands

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SRK ODESA	MOTA	90.03	—	Unverified
2	MOSTFusion	MOTA	84.83	—	Unverified
3	mmMOT-normal	MOTA	84.77	—	Unverified
4	3DT	MOTA	84.52	—	Unverified
5	Mono3DT	MOTA	84.52	—	Unverified
6	RRC-IIITH	MOTA	84.24	—	Unverified
7	RobMOT (Dynamic)	HOTA	81.8	—	Unverified
8	RobMOT	HOTA	81.76	—	Unverified
9	MCTrack	HOTA	81.07	—	Unverified
10	KFDL	HOTA	81.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ByteTrack	mMOTA	45.5	—	Unverified
2	UNINEXT-H	mMOTA	44.2	—	Unverified
3	MOTRv2	mMOTA	43.6	—	Unverified
4	QDTrack	mMOTA	42.1	—	Unverified
5	ContrasTR	mMOTA	41.7	—	Unverified
6	Unicorn	mMOTA	41.2	—	Unverified
7	TETer	mMOTA	39.1	—	Unverified
8	QDTrack	mMOTA	36.6	—	Unverified
9	Adaptive-searching -windows Tracker	mMOTA	34.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ContrasTR	mMOTA	42.8	—	Unverified
2	SUSHI	mMOTA	40.2	—	Unverified
3	ByteTrack	mMOTA	40.1	—	Unverified
4	QDtrack	mMOTA	35.6	—	Unverified
5	Yu et al.	mMOTA	26.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PP-Tracking	MOTA	72.6	—	Unverified
2	OC-SORT	MOTA	67.9	—	Unverified
3	HeadHunter-T	MOTA	63.6	—	Unverified
4	Tracktor	MOTA	58.9	—	Unverified
5	SORT	MOTA	46.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MOTIP (Deformable DETR, with SportsMOT val)	HOTA	75.2	—	Unverified
2	TrackSSM	HOTA	74.4	—	Unverified
3	MOTIP (Deformable DETR)	HOTA	71.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MCTrack	HOTA	82.75	—	Unverified
2	BiTrack	HOTA	82.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SIRA	MOTA	47.79	—	Unverified
2	TempoRadar	MOTA	37.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	QDTrack	MOTA	55.6	—	Unverified
2	RetinaTrack	MOTA	44.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MAC-SORT	HOTA	58.58	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EB & TADN	MOTA	23.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HandLer	MOTA	70	—	Unverified