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 351375 of 671 papers

TitleStatusHype
GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker without Bells and WhistlesCode1
SoccerTrack: A Dataset and Tracking Algorithm for Soccer With Fish-Eye and Drone VideosCode2
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy AutoencodersCode2
0/1 Deep Neural Networks via Block Coordinate Descent0
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detectionCode0
Simple Cues Lead to a Strong Multi-Object TrackerCode1
Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network0
Bag of Tricks for Domain Adaptive Multi-Object TrackingCode1
Transformers for Multi-Object Tracking on Point Clouds0
Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving0
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey0
TDT: Teaching Detectors to Track without Fully Annotated Videos0
Spatial Monitoring and Insect Behavioural Analysis Using Computer Vision for Precision PollinationCode1
Detection Recovery in Online Multi-Object Tracking with Sparse Graph TrackerCode1
AnimalTrack: A Benchmark for Multi-Animal Tracking in the Wild0
Interaction-Aware Labeled Multi-Bernoulli Filter0
Real-time Online Multi-Object Tracking in Compressed DomainCode1
MeMOT: Multi-Object Tracking with Memory0
TR-MOT: Multi-Object Tracking by Reference0
Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking0
Large-Scale Pre-training for Person Re-identification with Noisy LabelsCode2
Learning of Global Objective for Network Flow in Multi-Object Tracking0
PP-YOLOE: An evolved version of YOLOCode4
Towards Discriminative Representation: Multi-view Trajectory Contrastive Learning for Online Multi-object Tracking0
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object TrackingCode3
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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