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 251–300 of 318 papers

TitleStatusHype
State-Space Abstractions for Probabilistic Inference: A Systematic Review—0
Strawberry detection and counting based on YOLOv7 pruning and information based tracking algorithm—0
Tackling multiple object tracking with complicated motions—Re-designing the integration of motion and appearance—0
Target Identity-Aware Network Flow for Online Multiple Target Tracking—0
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking—0
Towards Accurate State Estimation: Kalman Filter Incorporating Motion Dynamics for 3D Multi-Object Tracking—0
Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection—0
Tracking Multiple Deformable Objects in Egocentric Videos—0
Tracking Multiple Moving Objects Using Unscented Kalman Filtering Techniques—0
Tracking Objects with 3D Representation from Videos—0
Tracking Road Users using Constraint Programming—0
Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking—0
Tracking with multi-level features—0
Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning—0
Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking—0
Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese Bi-GRU for Multiple Object Tracking—0
TransFiner: A Full-Scale Refinement Approach for Multiple Object Tracking—0
Type-to-Track: Retrieve Any Object via Prompt-based Tracking—0
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking—0
Uncertainty in Minimum Cost Multicuts for Image and Motion Segmentation—0
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder—0
Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts—0
Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking—0
UTM: A Unified Multiple Object Tracking Model With Identity-Aware Feature Enhancement—0
UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation—0
Video object tracking based on YOLOv7 and DeepSORT—0
Visual Multiple-Object Tracking for Unknown Clutter Rate—0
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs—0
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection—0
TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORTCode0
How To Train Your Deep Multi-Object TrackerCode0
Robust Multi-Modality Multi-Object TrackingCode0
RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloudCode0
Real-Time Multiple Object Tracking - A Study on the Importance of SpeedCode0
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and SegmentationCode0
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning AgentsCode0
Appearance-free Tripartite Matching for Multiple Object TrackingCode0
Multiple Toddler Tracking in Indoor VideosCode0
Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed TrafficCode0
Multiple Object Trackers in OpenCV: A BenchmarkCode0
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban ScenesCode0
Soccer Player Tracking in Low Quality VideoCode0
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object TrackingCode0
Deep Affinity Network for Multiple Object TrackingCode0
Multiple Hypothesis Hypergraph Tracking for Posture Identification in Embryonic Caenorhabditis elegansCode0
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object TrackingCode0
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object TrackingCode0
Adaptive Confidence Threshold for ByteTrack in Multi-Object TrackingCode0
Lucid Data Dreaming for Video Object SegmentationCode0
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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