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 126150 of 318 papers

TitleStatusHype
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object TrackingCode0
Adaptive Confidence Threshold for ByteTrack in Multi-Object TrackingCode0
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudCode0
Contrastive Learning for Multi-Object Tracking with TransformersCode0
Robust Multi-Modality Multi-Object TrackingCode0
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning AgentsCode0
Real-Time Multiple Object Tracking - A Study on the Importance of SpeedCode0
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategyCode0
Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion SimilarityCode0
Actor-identified Spatiotemporal Action Detection --- Detecting Who Is Doing What in VideosCode0
Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed TrafficCode0
Multiple Object Trackers in OpenCV: A BenchmarkCode0
Multiple Toddler Tracking in Indoor VideosCode0
A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object TrackingCode0
Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegansCode0
Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOTCode0
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
Lucid Data Dreaming for Video Object SegmentationCode0
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detectionCode0
Appearance-free Tripartite Matching for Multiple Object TrackingCode0
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object TrackingCode0
Joint Monocular 3D Vehicle Detection and TrackingCode0
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object TrackingCode0
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications0
Does Video Compression Impact Tracking Accuracy?0
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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