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 251300 of 318 papers

TitleStatusHype
A unified neural network for object detection, multiple object tracking and vehicle re-identification0
How To Train Your Deep Multi-Object TrackerCode0
CVPR19 Tracking and Detection Challenge: How crowded can it get?0
Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking0
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object TrackingCode1
Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection0
Frame-wise Motion and Appearance for Real-time Multiple Object Tracking0
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms0
A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis0
Spatial-Temporal Relation Networks for Multi-Object Tracking0
FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking0
MOTS: Multi-Object Tracking and Segmentation0
MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D0
Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video0
Automatic individual pig detection and tracking in surveillance videos0
Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking0
Joint Monocular 3D Vehicle Detection and TrackingCode0
Deep Affinity Network for Multiple Object TrackingCode0
Automated learning with a probabilistic programming language: Birch0
Combined Image- and World-Space Tracking in Traffic Scenes0
Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector0
Multi-object Tracking with Neural Gating Using Bilinear LSTM0
Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking0
Learning The Sequential Temporal Information with Recurrent Neural Networks0
A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object TrackingCode0
End-to-end Learning of Multi-sensor 3D Tracking by Detection0
Deep Similarity Metric Learning for Real-Time Pedestrian Tracking0
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
A Continuous, Full-scope, Spatio-temporal Tracking Metric based on KL-divergence0
State-Space Abstractions for Probabilistic Inference: A Systematic Review0
Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese Bi-GRU for Multiple Object Tracking0
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking0
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering0
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object TrackingCode0
Tracking Multiple Moving Objects Using Unscented Kalman Filtering Techniques0
Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing0
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning AgentsCode0
SOT for MOT0
Real-Time Multiple Object Tracking - A Study on the Importance of SpeedCode0
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications0
Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking0
Lucid Data Dreaming for Video Object SegmentationCode0
Simple Online and Realtime Tracking with a Deep Association MetricCode1
PathTrack: Fast Trajectory Annotation with Path Supervision0
Instance Flow Based Online Multiple Object Tracking0
Visual Multiple-Object Tracking for Unknown Clutter Rate0
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, ApplicationsCode0
Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed TrafficCode0
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature0
Multi-Class Multi-Object Tracking using Changing Point Detection0
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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