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
TGCN: Time Domain Graph Convolutional Network for Multiple Objects TrackingCode0
Multi-object Tracking with a Hierarchical Single-branch Network0
TransTrack: Multiple Object Tracking with TransformerCode1
GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking0
Limitation of Acyclic Oriented Graphs Matching as Cell Tracking Accuracy Measure when Evaluating Mitosis0
Accurate Object Association and Pose Updating for Semantic SLAM0
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking0
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy VideosCode0
GMOT-40: A Benchmark for Generic Multiple Object TrackingCode1
Learning Local Feature Descriptors for Multiple Object Tracking0
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban ScenesCode0
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking0
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object TrackingCode1
Appearance-free Tripartite Matching for Multiple Object TrackingCode0
Dense Scene Multiple Object Tracking with Box-Plane Matching0
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and TrackingCode1
Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and SegmentationCode0
Learning to associate detections for real-time multiple object tracking0
ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation0
PointTrack++ for Effective Online Multi-Object Tracking and SegmentationCode1
Lifted Disjoint Paths with Application in Multiple Object TrackingCode1
IA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency0
Quasi-Dense Similarity Learning for Multiple Object TrackingCode1
Learning a Neural Solver for Multiple Object TrackingCode1
MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method0
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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