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 101125 of 318 papers

TitleStatusHype
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
SportsTrack: An Innovative Method for Tracking Athletes in Sports ScenesCode1
Joint Learning Architecture for Multiple Object Tracking and Trajectory ForecastingCode1
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object TrackingCode1
DR.VIC: Decomposition and Reasoning for Video Individual CountingCode1
Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T VideosCode1
Learnable Graph Matching: A Practical Paradigm for Data AssociationCode1
MOT16: A Benchmark for Multi-Object TrackingCode1
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object TrackingCode1
Does Video Compression Impact Tracking Accuracy?0
LiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking0
An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention0
Detection- and Trajectory-Level Exclusion in Multiple Object Tracking0
Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking0
LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds0
Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video0
INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy0
Depth Perspective-aware Multiple Object Tracking0
Instance Flow Based Online Multiple Object Tracking0
Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking0
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction0
Is Multiple Object Tracking a Matter of Specialization?0
Inference for multiple object tracking: A Bayesian nonparametric approach0
Dense Scene Multiple Object Tracking with Box-Plane Matching0
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos0
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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