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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 61–70 of 151 papers

Title	Date	Tasks	Status	Score
Linear Battery Models for Power Systems Analysis	Apr 18, 2022	Point Tracking	CodeCode Available	5
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning	Sep 17, 2018	Deep Reinforcement LearningPoint Tracking	CodeCode Available	5
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization	Mar 15, 2024	Computational EfficiencyPoint Tracking	—Unverified	0
GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking	Jan 5, 2025	Novel View SynthesisPoint Tracking	—Unverified	0
DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild	Nov 20, 2024	Camera Pose EstimationDepth Estimation	—Unverified	0
GS-DiT: Advancing Video Generation with Dynamic 3D Gaussian Fields through Efficient Dense 3D Point Tracking	Jan 1, 2025	Novel View SynthesisPoint Tracking	—Unverified	0
GIFT: Generated Indoor video frames for Texture-less point tracking	Mar 17, 2025	Motion EstimationPoint Tracking	—Unverified	0
Data-driven predictive control with improved performance using segmented trajectories	Aug 24, 2021	energy managementLEMMA	—Unverified	0
Geometric PID Controller for Stabilization of Nonholonomic Mechanical Systems on Lie Groups	Nov 13, 2021	Point Tracking	—Unverified	0
A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems with Power Reserves and Fast Frequency Response Capabilities	May 11, 2021	Point Tracking	—Unverified	0

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All datasets TAP-Vid-DAVIS PointOdyssey TAP-Vid-DAVIS-First TAP-Vid-Kinetics TAP-Vid-Kinetics-First TAP-Vid-RGB-Stacking Perception Test TAP-Vid

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	LocoTrack-B	Average Jaccard	69.4	—	Unverified
2	BootsTAPIR	Average Jaccard	66.2	—	Unverified
3	CoTracker	Average Jaccard	65.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PIPs++	Survival	50.47	—	Unverified
2	PIPs+	Survival	49.88	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LocoTrack-B	Average Jaccard	64.8	—	Unverified
2	CoTracker	Average Jaccard	62.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BootsTAPIR	Average Jaccard	61.4	—	Unverified
2	LocoTrack-B	Average Jaccard	59.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LocoTrack-B	Average Jaccard	52.3	—	Unverified
2	CoTracker	Average Jaccard	48.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BootsTAPIR	Average Jaccard	72.4	—	Unverified
2	LocoTrack-B	Average Jaccard	70.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Static Baseline	Average Jaccard	0.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PIPs++	MTE	4.6	—	Unverified