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 126–150 of 318 papers

TitleStatusHype
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 Clouds—0
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 estimation—0
Multiple Object Tracking in Recent Times: A Literature Review—0
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 appearance—0
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 memory—0
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection—0
TransFiner: A Full-Scale Refinement Approach for Multiple Object Tracking—0
Tracking Every Thing in the WildCode1
Video object tracking based on YOLOv7 and DeepSORT—0
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 Tracking—0
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 associator—0
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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