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 201225 of 318 papers

TitleStatusHype
GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021Code0
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder0
Does Video Compression Impact Tracking Accuracy?0
Learning Pixel Trajectories with Multiscale Contrastive Random Walks0
PatchTrack: Multiple Object Tracking Using Frame Patches0
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking0
Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegansCode0
Multi-Object Tracking and Segmentation with a Space-Time Memory Network0
Multiple Object Trackers in OpenCV: A BenchmarkCode0
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter0
Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video0
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning0
Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation0
Improving Multiple Object Tracking With Single Object Tracking0
Online and Real-Time Tracking in a Surveillance Scenario0
A Joint Intensity-Neuromorphic Event Imaging System for Resource Constrained Devices0
Soccer Player Tracking in Low Quality VideoCode0
Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation0
RelationTrack: Relation-aware Multiple Object Tracking with Decoupled Representation0
Multiple Object Tracking with Correlation Learning0
TransMOT: Spatial-Temporal Graph Transformer for Multiple Object Tracking0
Multi-object Tracking with a Hierarchical Single-branch Network0
TGCN: Time Domain Graph Convolutional Network for Multiple Objects TrackingCode0
GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking0
Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy Measure when Evaluating Mitosis0
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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