SOTAVerified

Point Tracking

Point Tracking, often referred to as Tracking any Point (TAP) involves acquiring, focusing on, and continuously tracking specific target point/points across video frames. The system identifies the target point, maintains focus, and predicts its movement, enabling smooth tracking even if the target moves unpredictably, or through occlusions. TAP has wide applications like object tracking, surveillance, and autonomous navigation.

Papers

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Showing 101–150 of 151 papers

TitleStatusHype
Analysis and implementation of the Buck-Boost Modified Series Forward converter applied to photovoltaic systems—0
Real-Time Dynamic Layout Optimization for Floating Offshore Wind Farm Control—0
Perception Test 2023: A Summary of the First Challenge And Outcome—0
DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos—0
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction—0
Improve Myocardial Strain Estimation based on Deformable Groupwise Registration with a Locally Low-Rank Dissimilarity Metric—0
Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process—0
Visual Material Characteristics Learning for Circular HealthcareCode0
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual ImitationCode0
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones—0
Set-Point Tracking MPC with Avoidance Features—0
Require Process Control? LSTMc is all you need!—0
Context-PIPs: Persistent Independent Particles Demands Spatial Context Features—0
Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning—0
Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison—0
Energy Optimization of Wind Turbines via a Neural Control Policy Based on Reinforcement Learning Markov Chain Monte Carlo Algorithm—0
Improvement of Sliding Mode Control Strategy Founded on Cascaded Doubly Fed Induction Generator Powered by a Matrix Converter—0
Unified Grid-Forming Control of PMSG Wind Turbines for Fast Frequency Response and MPPT—0
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detectionCode0
Linear Battery Models for Power Systems AnalysisCode0
Online Gradient Descent for Flexible Power Point Tracking Under a Highly Fluctuating Weather and LoadCode0
Skin feature point tracking using deep feature encodingsCode0
Increasing the Efficiency of Photovoltaic Systems by Using Maximum Power Point Tracking (MPPT)—0
Geometric PID Controller for Stabilization of Nonholonomic Mechanical Systems on Lie Groups—0
Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid—0
Data-driven predictive control with improved performance using segmented trajectories—0
New Hybrid Maximum Power Point Tracking Methods for Fuel Cell using Artificial Intelligent—0
A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems with Power Reserves and Fast Frequency Response Capabilities—0
Reinforcement Learning based on Scenario-tree MPC for ASVs—0
Adaptive Step Size Incremental Conductance Based Maximum Power Point Tracking (MPPT)—0
Topology-Based Feature Design and Tracking for Multi-Center Cyclones—0
Extremum Power Seeking Control of A Hybrid Wind-Solar-Storage DC Power System—0
A simulation-based comparative analysis of PID and LQG control for closed-loop anesthesia delivery—0
MMC-Based Distributed Maximum Power Point Tracking for Photovoltaic Systems—0
Autonomous Control of a Quadrotor-Manipulator; Application of Extended State Disturbance Observer—0
Spatiotemporal Feature Learning for Event-Based Vision—0
Edge SLAM: Edge Points Based Monocular Visual SLAM—0
A Neural-Network-Based Optimal Control of Ultra-Capacitors with System Uncertainties—0
A Rprop-Neural-Network-Based PV Maximum Power Point Tracking Algorithm with Short-Circuit Current Limitation—0
Partial Shading Detection and Smooth Maximum Power Point Tracking of PV Arrays under PSC—0
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement LearningCode0
Fast Maximum Power Point Tracking for PV Arrays under Partial shaded Conditions—0
CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of VehiclesCode0
An Enhanced MPPT Method based on ANN-assisted Sequential Monte Carlo and Quickest Change Detection—0
Toward Geometric Deep SLAM—0
CoMaL Tracking: Tracking Points at the Object Boundaries—0
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual TrackingCode0
A Light-powered, Always-On, Smart Camera with Compressed Domain Gesture Detection—0
Trajectory Aligned Features For First Person Action Recognition—0
Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression—0
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All datasetsTAP-Vid-DAVISPointOdysseyTAP-Vid-DAVIS-FirstTAP-Vid-KineticsTAP-Vid-Kinetics-FirstTAP-Vid-RGB-StackingPerception TestTAP-Vid

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LocoTrack-BAverage Jaccard69.4—Unverified
2BootsTAPIRAverage Jaccard66.2—Unverified
3CoTrackerAverage Jaccard65.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PIPs++Survival50.47—Unverified
2PIPs+Survival49.88—Unverified
#ModelMetricClaimedVerifiedStatus
1LocoTrack-BAverage Jaccard64.8—Unverified
2CoTrackerAverage Jaccard62.2—Unverified
#ModelMetricClaimedVerifiedStatus
1BootsTAPIRAverage Jaccard61.4—Unverified
2LocoTrack-BAverage Jaccard59.1—Unverified
#ModelMetricClaimedVerifiedStatus
1LocoTrack-BAverage Jaccard52.3—Unverified
2CoTrackerAverage Jaccard48.8—Unverified
#ModelMetricClaimedVerifiedStatus
1BootsTAPIRAverage Jaccard72.4—Unverified
2LocoTrack-BAverage Jaccard70.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Static BaselineAverage Jaccard0.36—Unverified
#ModelMetricClaimedVerifiedStatus
1PIPs++MTE4.6—Unverified