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
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detectionCode0
LiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking—0
Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking—0
Towards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking—0
History-Aware Transformation of ReID Features for Multiple Object TrackingCode1
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with TransformerCode2
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy—0
Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T VideosCode1
A2VIS: Amodal-Aware Approach to Video Instance Segmentation—0
Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion SimilarityCode0
GTA: Global Tracklet Association for Multi-Object Tracking in SportsCode2
SIRA: Scalable Inter-frame Relation and Association for Radar Perception—0
Is Multiple Object Tracking a Matter of Specialization?—0
TrackMe:A Simple and Effective Multiple Object Tracking Annotation ToolCode1
Enhancing In-vehicle Multiple Object Tracking Systems with Embeddable Ising Machines—0
Enhanced Kalman with Adaptive Appearance Motion SORT for Grounded Generic Multiple Object Tracking—0
Spatial-Temporal Multi-Cuts for Online Multiple-Camera Vehicle TrackingCode1
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking—0
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs—0
Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom—0
MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous DrivingCode3
STCMOT: Spatio-Temporal Cohesion Learning for UAV-Based Multiple Object TrackingCode1
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary TrackingCode1
Associate Everything Detected: Facilitating Tracking-by-Detection to the UnknownCode1
FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking—0
When to Extract ReID Features: A Selective Approach for Improved Multiple Object TrackingCode1
One Homography is All You Need: IMM-based Joint Homography and Multiple Object State EstimationCode0
TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORTCode0
TrackSSM: A General Motion Predictor by State-Space ModelCode1
Estimating Dynamic Flow Features in Groups of Tracked Objects—0
BoostTrack++: using tracklet information to detect more objects in multiple object trackingCode3
CHOTA: A Higher Order Accuracy Metric for Cell TrackingCode1
MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model—0
GSLAMOT: A Tracklet and Query Graph-based Simultaneous Locating, Mapping, and Multiple Object Tracking System—0
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion ApproachCode2
Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOTCode0
Multiple Object Detection and Tracking in Panoramic Videos for Cycling Safety AnalysisCode1
Strawberry detection and counting based on YOLOv7 pruning and information based tracking algorithm—0
MM-Tracker: Motion Mamba with Margin Loss for UAV-platform Multiple Object TrackingCode1
FeatureSORT: Essential Features for Effective Tracking—0
Engineering an Efficient Object Tracker for Non-Linear Motion—0
BiTrack: Bidirectional Offline 3D Multi-Object Tracking Using Camera-LiDAR DataCode1
Overlap Suppression Clustering for Offline Multi-Camera People Tracking—0
Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU—0
SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving—0
ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving—0
Matching Anything by Segmenting AnythingCode5
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking—0
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos—0
Trackastra: Transformer-based cell tracking for live-cell microscopyCode4
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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