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

Showing 301318 of 318 papers

TitleStatusHype
Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOTCode0
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detectionCode0
Actor-identified Spatiotemporal Action Detection --- Detecting Who Is Doing What in VideosCode0
Joint Monocular 3D Vehicle Detection and TrackingCode0
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy VideosCode0
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, ApplicationsCode0
Into the Fog: Evaluating Robustness of Multiple Object TrackingCode0
Supervised and Unsupervised Detections for Multiple Object Tracking in Traffic Scenes: A Comparative StudyCode0
3D Multi-Object Tracking: A Baseline and New Evaluation MetricsCode0
A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object TrackingCode0
One Homography is All You Need: IMM-based Joint Homography and Multiple Object State EstimationCode0
TGCN: Time Domain Graph Convolutional Network for Multiple Objects TrackingCode0
A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge ComputingCode0
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object TrackingCode0
Contrastive Learning for Multi-Object Tracking with TransformersCode0
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategyCode0
GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021Code0
Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion SimilarityCode0
Show:102550
← PrevPage 7 of 7Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRK ODESAMOTA90.03Unverified
2MOSTFusionMOTA84.83Unverified
3mmMOT-normalMOTA84.77Unverified
43DTMOTA84.52Unverified
5Mono3DTMOTA84.52Unverified
6RRC-IIITHMOTA84.24Unverified
7RobMOT (Dynamic)HOTA81.8Unverified
8RobMOTHOTA81.76Unverified
9MCTrackHOTA81.07Unverified
10KFDLHOTA81.06Unverified
#ModelMetricClaimedVerifiedStatus
1ByteTrackmMOTA45.5Unverified
2UNINEXT-HmMOTA44.2Unverified
3MOTRv2mMOTA43.6Unverified
4QDTrackmMOTA42.1Unverified
5ContrasTRmMOTA41.7Unverified
6UnicornmMOTA41.2Unverified
7TETermMOTA39.1Unverified
8QDTrackmMOTA36.6Unverified
9Adaptive-searching -windows TrackermMOTA34.4Unverified
#ModelMetricClaimedVerifiedStatus
1ContrasTRmMOTA42.8Unverified
2SUSHImMOTA40.2Unverified
3ByteTrackmMOTA40.1Unverified
4QDtrackmMOTA35.6Unverified
5Yu et al.mMOTA26.3Unverified
#ModelMetricClaimedVerifiedStatus
1PP-TrackingMOTA72.6Unverified
2OC-SORTMOTA67.9Unverified
3HeadHunter-TMOTA63.6Unverified
4TracktorMOTA58.9Unverified
5SORTMOTA46.4Unverified
#ModelMetricClaimedVerifiedStatus
1MOTIP (Deformable DETR, with SportsMOT val)HOTA75.2Unverified
2TrackSSMHOTA74.4Unverified
3MOTIP (Deformable DETR)HOTA71.9Unverified
#ModelMetricClaimedVerifiedStatus
1MCTrackHOTA82.75Unverified
2BiTrackHOTA82.7Unverified
#ModelMetricClaimedVerifiedStatus
1SIRAMOTA47.79Unverified
2TempoRadarMOTA37.91Unverified
#ModelMetricClaimedVerifiedStatus
1QDTrackMOTA55.6Unverified
2RetinaTrackMOTA44.92Unverified
#ModelMetricClaimedVerifiedStatus
1MAC-SORTHOTA58.58Unverified
#ModelMetricClaimedVerifiedStatus
1EB & TADNMOTA23.7Unverified
#ModelMetricClaimedVerifiedStatus
1HandLerMOTA70Unverified