SOTAVerified

Object Tracking

Object tracking is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment. State-of-the-art methods involve fusing data from RGB and event-based cameras to produce more reliable object tracking. CNN-based models using only RGB images as input are also effective. The most popular benchmark is OTB. There are several evaluation metrics specific to object tracking, including HOTA, MOTA, IDF1, and Track-mAP.

( Image credit: Towards-Realtime-MOT )

Papers

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Showing 401–450 of 1966 papers

TitleStatusHype
Reasoning-Enhanced Object-Centric Learning for Videos—0
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object TrackingCode2
Lifting Multi-View Detection and Tracking to the Bird's Eye ViewCode2
NetTrack: Tracking Highly Dynamic Objects with a NetCode2
View-Centric Multi-Object Tracking with Homographic Matching in Moving UAV—0
MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking—0
NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots Using Edge DevicesCode2
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning—0
Learning Data Association for Multi-Object Tracking using Only CoordinatesCode1
SSF-Net: Spatial-Spectral Fusion Network with Spectral Angle Awareness for Hyperspectral Object Tracking—0
Long-term Frame-Event Visual Tracking: Benchmark Dataset and BaselineCode2
Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric SimulatorCode0
Beyond MOT: Semantic Multi-Object TrackingCode2
Delving into the Trajectory Long-tail Distribution for Muti-object TrackingCode2
Multi-Object Tracking with Camera-LiDAR Fusion for Autonomous Driving—0
VastTrack: Vast Category Visual Object TrackingCode2
DeconfuseTrack:Dealing with Confusion for Multi-Object Tracking—0
Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning—0
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction—0
Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor—0
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks—0
EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous DrivingCode1
ACTrack: Adding Spatio-Temporal Condition for Visual Object Tracking—0
In Defense and Revival of Bayesian Filtering for Thermal Infrared Object Tracking—0
SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud TrackingCode1
Real-Time Vehicle Detection and Urban Traffic Behavior Analysis Based on UAV Traffic Videos on Mobile Devices—0
Revolutionizing Retail Analytics: Advancing Inventory and Customer Insight with AI—0
Multi-Object Tracking by Hierarchical Visual Representations—0
Reading Relevant Feature from Global Representation Memory for Visual Object Tracking—0
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal SensorsCode0
OLViT: Multi-Modal State Tracking via Attention-Based Embeddings for Video-Grounded Dialog—0
Neuromorphic Synergy for Video BinarizationCode1
MapTrack: Tracking in the Map—0
BronchoTrack: Airway Lumen Tracking for Branch-Level Bronchoscopic Localization—0
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object TrackingCode1
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object TrackingCode0
LDTrack: Dynamic People Tracking by Service Robots using Diffusion Models—0
Camera Calibration through Geometric Constraints from Rotation and Projection MatricesCode1
GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly GuidanceCode1
BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision—0
0-1 laws for pattern occurrences in phylogenetic trees and networks—0
Spatio-temporal Prompting Network for Robust Video Feature ExtractionCode1
Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision—0
VR-based generation of photorealistic synthetic data for training hand-object tracking models—0
A comparison of RL-based and PID controllers for 6-DOF swimming robots: hybrid underwater object trackingCode0
AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking—0
Small Object Tracking in LiDAR Point Cloud: Learning the Target-awareness Prototype and Fine-grained Search Region—0
Correlation-Embedded Transformer Tracking: A Single-Branch FrameworkCode1
Unifying Visual and Vision-Language Tracking via Contrastive LearningCode1
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All datasetsCOESOTFE108QuadTrackSeaDronesSeeBIRDSAI - ICVGIP 2020KITTIMMPTRACKPerception TestVisEvent

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HR-CEUTrack-LargeSuccess Rate65—Unverified
2HR-CEUTrack-BaseSuccess Rate63.2—Unverified
3CEUTrack-LargeSuccess Rate62.8—Unverified
4CEUTrack-BaseSuccess Rate62—Unverified
5SiamR-CNNSuccess Rate60.9—Unverified
6TransTSuccess Rate60.5—Unverified
7SuperDiMPSuccess Rate60.2—Unverified
8TrDiMPSuccess Rate60.1—Unverified
9KeepTrackSuccess Rate59.6—Unverified
10AiATrackSuccess Rate59—Unverified
#ModelMetricClaimedVerifiedStatus
1HR-MonTrack-BaseSuccess Rate68.5—Unverified
2HR-MonTrack-TinySuccess Rate66.3—Unverified
3Multi-modalSuccess Rate63.4—Unverified
4PrDiMPSuccess Rate59—Unverified
5DiMPSuccess Rate57.1—Unverified
6MonTrackSuccess Rate54.9—Unverified
7ATOMSuccess Rate46.5—Unverified
8KYSSuccess Rate26.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OmniTrackHOTA23.45—Unverified
2DeepSORTHOTA21.16—Unverified
3OC-SORTHOTA20.83—Unverified
4ByteTrackHOTA20.66—Unverified
5TrackFormerHOTA19.62—Unverified
6HybridSORTHOTA16.64—Unverified
7DiffMOTHOTA16.4—Unverified
8Bot-SORTHOTA15.77—Unverified
#ModelMetricClaimedVerifiedStatus
1DiMP50Success Rate67.33—Unverified
2PrDiMP50Success Rate67—Unverified
3PrDiMP18Success Rate65.9—Unverified
4DiMP18Success Rate64.6—Unverified
5AtomSuccess Rate63.8—Unverified
#ModelMetricClaimedVerifiedStatus
1finalHumans0.14—Unverified
2night_furyHumans0.05—Unverified
3Yolo based methodHumans0.02—Unverified
4finalHumans0—Unverified
#ModelMetricClaimedVerifiedStatus
1M2-Trackmean precision83.4—Unverified
2BATmean precision75.2—Unverified
#ModelMetricClaimedVerifiedStatus
1UMMT3DMOTA95—Unverified
2MMPTRACK3DMOTA94.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Siam-FCAverage IOU0.66—Unverified
#ModelMetricClaimedVerifiedStatus
1RT-MDNetPrecision Plot0.63—Unverified