SOTAVerified

Multi-Object Tracking

Multi-Object Tracking is a task in computer vision that involves detecting and tracking multiple objects within a video sequence. The goal is to identify and locate objects of interest in each frame and then associate them across frames to keep track of their movements over time. This task is challenging due to factors such as occlusion, motion blur, and changes in object appearance, and is typically solved using algorithms that integrate object detection and data association techniques.

Papers

Showing 101125 of 671 papers

TitleStatusHype
3DMOTFormer: Graph Transformer for Online 3D Multi-Object TrackingCode1
Uncertainty-aware Unsupervised Multi-Object TrackingCode1
Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in SportsCode1
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory HypothesesCode1
SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-DepthCode1
Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object TrackingCode1
GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-TrainingCode1
You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object TrackingCode1
OVTrack: Open-Vocabulary Multiple Object TrackingCode1
Referring Multi-Object TrackingCode1
3D Multi-Object Tracking Based on Uncertainty-Guided Data AssociationCode1
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor FusionCode1
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open ScenesCode1
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot InteractionCode1
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic SegmentationCode1
A Fast Unified System for 3D Object Detection and TrackingCode1
Multiple Object Tracking Challenge Technical Report for Team MT_IoTCode1
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching SpaceCode1
MEVID: Multi-view Extended Videos with Identities for Video Person Re-IdentificationCode1
Large Scale Real-World Multi-Person TrackingCode1
Strong-TransCenter: Improved Multi-Object Tracking based on Transformers with Dense RepresentationsCode1
Multi-view Tracking Using Weakly Supervised Human Motion PredictionCode1
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?Code1
Multiple Object Tracking from appearance by hierarchically clustering trackletsCode1
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in VideoCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STGTMOTA76.7Unverified
2TransCenterMOTA76Unverified
3TrackFormerMOTA74.1Unverified
4FairMOTMOTA73.7Unverified
5OUTrack_fmMOTA73.5Unverified
6LMOTMOTA72Unverified
7TraDeSMOTA69.1Unverified
8TADNMOTA69Unverified
9QDTrackMOTA68.7Unverified
10CenterTrack + TrajEMOTA67.8Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2MOTHOTA75.9Unverified
2MOTIP (Deformable DETR, with DanceTrack val and CrowdHuman)HOTA73.7Unverified
3MOTRv2HOTA73.4Unverified
4MOTIP (Deformable DETR, with CrowdHuman)HOTA71.4Unverified
5MOTIP (DAB-Deformable DETR)HOTA70Unverified
6CO-MOTHOTA69.4Unverified
7CAMELTrack (fully online)HOTA69.3Unverified
8MeMOTRHOTA68.5Unverified
9MOTIP (Deformable DETR)HOTA67.5Unverified
10MT_IOTHOTA66.66Unverified
#ModelMetricClaimedVerifiedStatus
1STGTMOTA77.5Unverified
2TransCenterMOTA72.4Unverified
3OUTrack_fmMOTA68.5Unverified
4GSDTMOTA67.1Unverified
5BoostTrack++HOTA66.4Unverified
6BoostTrack+HOTA66.2Unverified
7TrackTrackHOTA65.7Unverified
8AdapTrackHOTA65Unverified
9CMTrackHOTA64.8Unverified
10Deep OC-SORTHOTA63.9Unverified
#ModelMetricClaimedVerifiedStatus
1PPTrackingMOTA77.7Unverified
2ReMOTMOTA76.9Unverified
3SGTMOTA76.8Unverified
4STGTMOTA76.7Unverified
5FairMOTMOTA74.9Unverified
6UniTrackMOTA74.7Unverified
7OUTrack_fmMOTA74.2Unverified
8LMOTMOTA73.2Unverified
9TraDeSMOTA70.1Unverified
10QDTrackMOTA69.8Unverified
#ModelMetricClaimedVerifiedStatus
1DeepEIoU + GTAHOTA81Unverified
2HAT-FastReID-MOTHOTA80.8Unverified
3CAMELTrack (fully online)HOTA80.4Unverified
4Deep HM-SORTHOTA80.1Unverified
5AEDHOTA79.1Unverified
6DeepMoveSORTHOTA78.7Unverified
7Deep-EIoUHOTA77.2Unverified
8MoveSORTHOTA74.6Unverified
9ETTrackHOTA74.3Unverified
10MixSort-OCHOTA74.1Unverified
#ModelMetricClaimedVerifiedStatus
1OmniTrackHOTA26.92Unverified
2OC-SORTHOTA25.04Unverified
3HybridSORTHOTA25.01Unverified
4ByteTrackHOTA25Unverified
5SORTHOTA23.49Unverified
6Bot-SORTHOTA22.9Unverified
7DeepSORTHOTA22.15Unverified
8DiffMOTHOTA19.96Unverified
9TrackFormerHOTA19.16Unverified
10MOTRv2HOTA18.22Unverified
#ModelMetricClaimedVerifiedStatus
1AED (Co-DETR)TETA55.3Unverified
2GLEE-ProTETA47.2Unverified
3GLEE-PlusTETA41.5Unverified
4GLEE-LiteTETA40.1Unverified
5AED (RegionCLIP)TETA37Unverified
6TETer-HTCTETA36.85Unverified
7TETer-SwinTTETA34.61Unverified
8TETerTETA33.25Unverified
9AOATETA25.27Unverified
#ModelMetricClaimedVerifiedStatus
1MCBLTIDF195.6Unverified
2TrackTacular (Bilinear Sampling)IDF195.3Unverified
3MVFlowIDF193.5Unverified
4EarlyBirdIDF192.3Unverified
5ReSTIDF186.7Unverified
6DMCT StackIDF181.9Unverified
7DMCTIDF177.8Unverified
8GLMB-YOLOv3IDF174.3Unverified
9GLMB-DOIDF172.5Unverified
#ModelMetricClaimedVerifiedStatus
1MCBLTHOTA81.22Unverified
2YachiyoHOTA71.94Unverified
3SJTU-LenovoHOTA67.22Unverified
4NotaHOTA60.93Unverified
5FraunhoferIOSBHOTA60.88Unverified
6UW-ETRIHOTA57.14Unverified
7ARVHOTA51.06Unverified
8AsillaHOTA40.34Unverified
#ModelMetricClaimedVerifiedStatus
1ReMOTSsMOTSA70.4Unverified
2UniTracksMOTSA68.9Unverified
3UnicornsMOTSA65.3Unverified
4TrackFormersMOTSA54.9Unverified
5TraDessMOTSA50.8Unverified
6Track R-CNNsMOTSA40.6Unverified