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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 318 papers

TitleStatusHype
RetinaTrack: Online Single Stage Joint Detection and TrackingCode1
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale DatasetCode1
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object TrackingCode1
Learning a Neural Solver for Multiple Object TrackingCode1
Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group ManagementCode1
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object TrackingCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Simple Online and Realtime Tracking with a Deep Association MetricCode1
MOT16: A Benchmark for Multi-Object TrackingCode1
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
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy—0
A2VIS: Amodal-Aware Approach to Video Instance Segmentation—0
Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion SimilarityCode0
SIRA: Scalable Inter-frame Relation and Association for Radar Perception—0
Is Multiple Object Tracking a Matter of Specialization?—0
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
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking—0
Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom—0
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs—0
FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking—0
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
Estimating Dynamic Flow Features in Groups of Tracked Objects—0
GSLAMOT: A Tracklet and Query Graph-based Simultaneous Locating, Mapping, and Multiple Object Tracking System—0
MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model—0
Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOTCode0
Strawberry detection and counting based on YOLOv7 pruning and information based tracking algorithm—0
FeatureSORT: Essential Features for Effective Tracking—0
Engineering an Efficient Object Tracker for Non-Linear Motion—0
Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU—0
Overlap Suppression Clustering for Offline Multi-Camera People Tracking—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
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
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudCode0
MAML MOT: Multiple Object Tracking based on Meta-Learning—0
Into the Fog: Evaluating Robustness of Multiple Object TrackingCode0
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark—0
Enhancing Multiple Object Tracking Accuracy via Quantum Annealing—0
MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking—0
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction—0
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object TrackingCode0
Motion State: A New Benchmark Multiple Object Tracking—0
NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting—0
Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking—0
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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