SOTAVerified

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

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Showing 1–50 of 318 papers

TitleStatusHype
Matching Anything by Segmenting AnythingCode5
Trackastra: Transformer-based cell tracking for live-cell microscopyCode4
SiamMask: A Framework for Fast Online Object Tracking and SegmentationCode4
PP-YOLOE: An evolved version of YOLOCode4
MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous DrivingCode3
BoostTrack++: using tracklet information to detect more objects in multiple object trackingCode3
BoostTrack: boosting the similarity measure and detection confidence for improved multiple object trackingCode3
Multiple Object Tracking as ID PredictionCode3
Universal Instance Perception as Object Discovery and RetrievalCode3
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object TrackingCode3
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with TransformerCode2
GTA: Global Tracklet Association for Multi-Object Tracking in SportsCode2
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion ApproachCode2
Delving into the Trajectory Long-tail Distribution for Muti-object TrackingCode2
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion CompensationCode2
RaTrack: Moving Object Detection and Tracking with 4D Radar Point CloudCode2
Hybrid-SORT: Weak Cues Matter for Online Multi-Object TrackingCode2
MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object TrackingCode2
SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports ScenesCode2
Virtual Sparse Convolution for Multimodal 3D Object DetectionCode2
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object DetectorsCode2
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object TrackingCode2
The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance ChallengeCode2
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingCode2
Towards Grand Unification of Object TrackingCode2
Tracking Objects as PointsCode2
Towards Real-Time Multi-Object TrackingCode2
Simple Online and Realtime TrackingCode2
History-Aware Transformation of ReID Features for Multiple Object TrackingCode1
Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T VideosCode1
TrackMe:A Simple and Effective Multiple Object Tracking Annotation ToolCode1
Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle TrackingCode1
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary TrackingCode1
STCMOT: Spatio-Temporal Cohesion Learning for UAV-Based Multiple Object TrackingCode1
Associate Everything Detected: Facilitating Tracking-by-Detection to the UnknownCode1
When to Extract ReID Features: A Selective Approach for Improved Multiple Object TrackingCode1
TrackSSM: A General Motion Predictor by State-Space ModelCode1
CHOTA: A Higher Order Accuracy Metric for Cell TrackingCode1
Multiple Object Detection and Tracking in Panoramic Videos for Cycling Safety AnalysisCode1
MM-Tracker: Motion Mamba with Margin Loss for UAV-platform Multiple Object TrackingCode1
BiTrack: Bidirectional Offline 3D Multi-Object Tracking Using Camera-LiDAR DataCode1
PNAS-MOT: Multi-Modal Object Tracking with Pareto Neural Architecture SearchCode1
Learning Data Association for Multi-Object Tracking using Only CoordinatesCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
SoccerNet 2023 Challenges ResultsCode1
FishMOT: A Simple and Effective Method for Fish Tracking Based on IoU MatchingCode1
Object-Centric Multiple Object TrackingCode1
Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural RobotsCode1
Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in SportsCode1
SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-DepthCode1
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All datasetsKITTI Test (Online Methods)BDD100K valBDD100K testCroHDSportsMOTKITTI Test (Offline Methods)RADIATEWaymo Open DatasetGMOT-40UA-DETRACYouTube-Hands

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRK ODESAMOTA90.03—Unverified
2MOSTFusionMOTA84.83—Unverified
3mmMOT-normalMOTA84.77—Unverified
43DTMOTA84.52—Unverified
5Mono3DTMOTA84.52—Unverified
6RRC-IIITHMOTA84.24—Unverified
7RobMOT (Dynamic)HOTA81.8—Unverified
8RobMOTHOTA81.76—Unverified
9MCTrackHOTA81.07—Unverified
10KFDLHOTA81.06—Unverified
#ModelMetricClaimedVerifiedStatus
1ByteTrackmMOTA45.5—Unverified
2UNINEXT-HmMOTA44.2—Unverified
3MOTRv2mMOTA43.6—Unverified
4QDTrackmMOTA42.1—Unverified
5ContrasTRmMOTA41.7—Unverified
6UnicornmMOTA41.2—Unverified
7TETermMOTA39.1—Unverified
8QDTrackmMOTA36.6—Unverified
9Adaptive-searching -windows TrackermMOTA34.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ContrasTRmMOTA42.8—Unverified
2SUSHImMOTA40.2—Unverified
3ByteTrackmMOTA40.1—Unverified
4QDtrackmMOTA35.6—Unverified
5Yu et al.mMOTA26.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PP-TrackingMOTA72.6—Unverified
2OC-SORTMOTA67.9—Unverified
3HeadHunter-TMOTA63.6—Unverified
4TracktorMOTA58.9—Unverified
5SORTMOTA46.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MOTIP (Deformable DETR, with SportsMOT val)HOTA75.2—Unverified
2TrackSSMHOTA74.4—Unverified
3MOTIP (Deformable DETR)HOTA71.9—Unverified
#ModelMetricClaimedVerifiedStatus
1MCTrackHOTA82.75—Unverified
2BiTrackHOTA82.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SIRAMOTA47.79—Unverified
2TempoRadarMOTA37.91—Unverified
#ModelMetricClaimedVerifiedStatus
1QDTrackMOTA55.6—Unverified
2RetinaTrackMOTA44.92—Unverified
#ModelMetricClaimedVerifiedStatus
1MAC-SORTHOTA58.58—Unverified
#ModelMetricClaimedVerifiedStatus
1EB & TADNMOTA23.7—Unverified
#ModelMetricClaimedVerifiedStatus
1HandLerMOTA70—Unverified