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 126150 of 318 papers

TitleStatusHype
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos0
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions0
Improving tracking with a tracklet associator0
Automatic tracking of protein vesicles0
Deep Similarity Metric Learning for Real-Time Pedestrian Tracking0
Improving Multiple Object Tracking With Single Object Tracking0
Accurate Object Association and Pose Updating for Semantic SLAM0
3D Multiple Object Tracking on Autonomous Driving: A Literature Review0
DecoderTracker: Decoder-Only Method for Multiple-Object Tracking0
Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing0
IA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency0
Automatic individual pig detection and tracking in surveillance videos0
A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis0
Deep Learning in Video Multi-Object Tracking: A Survey0
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads0
Deep HM-SORT: Enhancing Multi-Object Tracking in Sports with Deep Features, Harmonic Mean, and Expansion IOU0
Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom0
GSLAMOT: A Tracklet and Query Graph-based Simultaneous Locating, Mapping, and Multiple Object Tracking System0
A Joint Intensity-Neuromorphic Event Imaging System for Resource Constrained Devices0
MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion0
GMMCP Tracker: Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking0
Automated learning with a probabilistic programming language: Birch0
MotionTrack: Learning Motion Predictor for Multiple Object Tracking0
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation0
CVPR19 Tracking and Detection Challenge: How crowded can it get?0
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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