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 51–60 of 151 papers

Title	Date	Tasks	Status	Score
Optimal Video Compression using Pixel Shift Tracking	Jun 28, 2024	Point TrackingVideo Compression	CodeCode Available	5
mvHOTA: A multi-view higher order tracking accuracy metric to measure spatial and temporal associations in multi-point detection	Jun 19, 2022	Multi-Object Trackingobject-detection	CodeCode Available	5
CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles	Jun 1, 2018	3D ReconstructionPoint Tracking	CodeCode Available	5
Multiple model estimation under perspective of random-fuzzy dual interpretation of unknown uncertainty	Apr 1, 2024	Keypoint EstimationPoint Tracking	CodeCode Available	5
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning	Sep 17, 2018	Deep Reinforcement LearningPoint Tracking	CodeCode Available	5
Online Gradient Descent for Flexible Power Point Tracking Under a Highly Fluctuating Weather and Load	Mar 1, 2022	Point Tracking	CodeCode Available	5
DivaTrack: Diverse Bodies and Motions from Acceleration-Enhanced Three-Point Trackers	Feb 14, 2024	Point Tracking	CodeCode Available	5
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking	Aug 12, 2016	Object TrackingPoint Tracking	CodeCode Available	5
Leveraging Object Priors for Point Tracking	Sep 9, 2024	ObjectPoint Tracking	CodeCode Available	5
Linear Battery Models for Power Systems Analysis	Apr 18, 2022	Point Tracking	CodeCode Available	5

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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