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 76–100 of 151 papers

TitleStatusHype
A Training-Free Framework for Precise Mobile Manipulation of Small Everyday Objects—0
A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems with Power Reserves and Fast Frequency Response Capabilities—0
Autonomous Control of a Quadrotor-Manipulator; Application of Extended State Disturbance Observer—0
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events—0
Can Visual Foundation Models Achieve Long-term Point Tracking?—0
CoMaL Tracking: Tracking Points at the Object Boundaries—0
Combing Text-based and Drag-based Editing for Precise and Flexible Image Editing—0
CoMIC: Good features for detection and matching at object boundaries—0
Context-PIPs: Persistent Independent Particles Demands Spatial Context Features—0
Control Barrier Function-Based Quadratic Programming for SafeOperation of Tethered UAVs—0
Data-driven predictive control with improved performance using segmented trajectories—0
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild—0
Improve Myocardial Strain Estimation based on Deformable Groupwise Registration with a Locally Low-Rank Dissimilarity Metric—0
DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video—0
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction—0
DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos—0
Dual Control of Exploration and Exploitation for Auto-Optimisation Control with Active Learning—0
Dynamic Camera Poses and Where to Find Them—0
DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction—0
Edge SLAM: Edge Points Based Monocular Visual SLAM—0
EgoPoints: Advancing Point Tracking for Egocentric Videos—0
Endo-TTAP: Robust Endoscopic Tissue Tracking via Multi-Facet Guided Attention and Hybrid Flow-point Supervision—0
Energy Optimization of Wind Turbines via a Neural Control Policy Based on Reinforcement Learning Markov Chain Monte Carlo Algorithm—0
Extremum Power Seeking Control of A Hybrid Wind-Solar-Storage DC Power System—0
Fast Maximum Power Point Tracking for PV Arrays under Partial shaded Conditions—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