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 51–100 of 151 papers

TitleStatusHype
Multiple model estimation under perspective of random-fuzzy dual interpretation of unknown uncertaintyCode0
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement LearningCode0
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detectionCode0
Online Gradient Descent for Flexible Power Point Tracking Under a Highly Fluctuating Weather and LoadCode0
Optimal Video Compression using Pixel Shift TrackingCode0
PIPsUS: Self-Supervised Dense Point Tracking in UltrasoundCode0
Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) ChallengeCode0
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual ImitationCode0
Skin feature point tracking using deep feature encodingsCode0
TAPNext: Tracking Any Point (TAP) as Next Token PredictionCode0
Tracking Any Point with Frame-Event Fusion Network at High Frame RateCode0
Visual Material Characteristics Learning for Circular HealthcareCode0
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization—0
Improvement of Sliding Mode Control Strategy Founded on Cascaded Doubly Fed Induction Generator Powered by a Matrix Converter—0
Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression—0
Increasing the Efficiency of Photovoltaic Systems by Using Maximum Power Point Tracking (MPPT)—0
Integrated Switched Capacitor Array and Synchronous Charge Extraction with Adaptive Hybrid MPPT for Piezoelectric Harvesters—0
Kalib: Easy Hand-Eye Calibration with Reference Point Tracking—0
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction—0
Fast Encoder-Based 3D from Casual Videos via Point Track Processing—0
Learning to Track Any Points from Human Motion—0
You Are Your Best Teacher: Semi-Supervised Surgical Point Tracking with Cycle-Consistent Self-Distillation—0
Tracking-in-range Formulations for Numerical Optimal Control—0
Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid—0
Long-Term 3D Point Tracking By Cost Volume Fusion—0
DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video—0
MATCHA:Towards Matching Anything—0
Improve Myocardial Strain Estimation based on Deformable Groupwise Registration with a Locally Low-Rank Dissimilarity Metric—0
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild—0
Microcontroller-Driven MPPT System for Enhanced Photovoltaic Efficiency: An Experimental Approach in Nepal—0
MMC-Based Distributed Maximum Power Point Tracking for Photovoltaic Systems—0
Data-driven predictive control with improved performance using segmented trajectories—0
MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second—0
Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison—0
A-MFST: Adaptive Multi-Flow Sparse Tracker for Real-Time Tissue Tracking Under Occlusion—0
Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better—0
Training-Free Robust Interactive Video Object Segmentation—0
New Hybrid Maximum Power Point Tracking Methods for Fuel Cell using Artificial Intelligent—0
Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process—0
Object and Contact Point Tracking in Demonstrations Using 3D Gaussian Splatting—0
Control Barrier Function-Based Quadratic Programming for SafeOperation of Tethered UAVs—0
Trajectory Aligned Features For First Person Action Recognition—0
Transformer based time series prediction of the maximum power point for solar photovoltaic cells—0
Partial Shading Detection and Smooth Maximum Power Point Tracking of PV Arrays under PSC—0
Perception Test 2023: A Summary of the First Challenge And Outcome—0
Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark—0
Context-PIPs: Persistent Independent Particles Demands Spatial Context Features—0
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones—0
PlantTrack: Task-Driven Plant Keypoint Tracking with Zero-Shot Sim2Real Transfer—0
CoMIC: Good features for detection and matching at object boundaries—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