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

Showing 76100 of 151 papers

TitleStatusHype
DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video0
MATCHA:Towards Matching Anything0
Improve Myocardial Strain Estimation based on Deformable Groupwise Registration with a Locally Low-Rank Dissimilarity Metric0
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild0
Microcontroller-Driven MPPT System for Enhanced Photovoltaic Efficiency: An Experimental Approach in Nepal0
MMC-Based Distributed Maximum Power Point Tracking for Photovoltaic Systems0
Data-driven predictive control with improved performance using segmented trajectories0
MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second0
Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison0
A-MFST: Adaptive Multi-Flow Sparse Tracker for Real-Time Tissue Tracking Under Occlusion0
Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better0
Training-Free Robust Interactive Video Object Segmentation0
New Hybrid Maximum Power Point Tracking Methods for Fuel Cell using Artificial Intelligent0
Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process0
Object and Contact Point Tracking in Demonstrations Using 3D Gaussian Splatting0
Control Barrier Function-Based Quadratic Programming for SafeOperation of Tethered UAVs0
Trajectory Aligned Features For First Person Action Recognition0
Transformer based time series prediction of the maximum power point for solar photovoltaic cells0
Partial Shading Detection and Smooth Maximum Power Point Tracking of PV Arrays under PSC0
Perception Test 2023: A Summary of the First Challenge And Outcome0
Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark0
Context-PIPs: Persistent Independent Particles Demands Spatial Context Features0
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones0
PlantTrack: Task-Driven Plant Keypoint Tracking with Zero-Shot Sim2Real Transfer0
CoMIC: Good features for detection and matching at object boundaries0
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Benchmark Results

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