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 101150 of 318 papers

TitleStatusHype
SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports ScenesCode2
Streaming Video ModelCode1
Learnable Graph Matching: A Practical Paradigm for Data AssociationCode1
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation0
3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion captureCode1
Universal Instance Perception as Object Discovery and RetrievalCode3
Virtual Sparse Convolution for Multimodal 3D Object DetectionCode2
Focus On Details: Online Multi-object Tracking with Diverse Fine-grained Representation0
Spatio-Temporal Point Process for Multiple Object Tracking0
Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning0
UTM: A Unified Multiple Object Tracking Model With Identity-Aware Feature Enhancement0
Tracking Multiple Deformable Objects in Egocentric Videos0
Joint Counting, Detection and Re-Identification for Multi-Object Tracking0
Unifying Short and Long-Term Tracking with Graph HierarchiesCode1
Sparse Message Passing Network with Feature Integration for Online Multiple Object Tracking0
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation0
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching SpaceCode1
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object DetectorsCode2
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object TrackingCode2
SportsTrack: An Innovative Method for Tracking Athletes in Sports ScenesCode1
An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention0
Efficient Joint Detection and Multiple Object Tracking with Spatially Aware Transformer0
SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware FeaturesCode1
The 1st-place Solution for ECCV 2022 Multiple People Tracking in Group Dance ChallengeCode2
End-to-end Tracking with a Multi-query Transformer0
Strong-TransCenter: Improved Multi-Object Tracking based on Transformers with Dense RepresentationsCode1
Cell tracking for live-cell microscopy using an activity-prioritized assignment strategyCode0
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds0
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object TrackingCode2
EnsembleMOT: A Step towards Ensemble Learning of Multiple Object TrackingCode1
Multiple Object Tracking from appearance by hierarchically clustering trackletsCode1
SoccerNet 2022 Challenges ResultsCode1
MOTSLAM: MOT-assisted monocular dynamic SLAM using single-view depth estimation0
Multiple Object Tracking in Recent Times: A Literature Review0
Actor-identified Spatiotemporal Action Detection --- Detecting Who Is Doing What in VideosCode0
Tackling multiple object tracking with complicated motions—Re-designing the integration of motion and appearance0
Fast Online and Relational TrackingCode1
Transformer-based assignment decision network for multiple object trackingCode1
Significant changes in EEG neural oscillations during different phases of three-dimensional multiple object tracking task (3D-MOT) imply different roles for attention and working memory0
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection0
TransFiner: A Full-Scale Refinement Approach for Multiple Object Tracking0
Tracking Every Thing in the WildCode1
Video object tracking based on YOLOv7 and DeepSORT0
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and CountingCode1
Multi-Object Tracking and Segmentation via Neural Message PassingCode1
Towards Grand Unification of Object TrackingCode2
Depth Perspective-aware Multiple Object Tracking0
SiamMask: A Framework for Fast Online Object Tracking and SegmentationCode4
Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object TrackingCode1
Improving tracking with a tracklet associator0
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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