Visual Tracking

Visual Tracking is an essential and actively researched problem in the field of computer vision with various real-world applications such as robotic services, smart surveillance systems, autonomous driving, and human-computer interaction. It refers to the automatic estimation of the trajectory of an arbitrary target object, usually specified by a bounding box in the first frame, as it moves around in subsequent video frames.

Source: Learning Reinforced Attentional Representation for End-to-End Visual Tracking

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 251–260 of 525 papers

Title	Date	Tasks	Status
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility	Aug 14, 2022	Object TrackingVisual Object Tracking	—Unverified
Linearization to Nonlinear Learning for Visual Tracking	Dec 1, 2015	DescriptiveDictionary Learning	—Unverified
Adversarial Feature Sampling Learning for Efficient Visual Tracking	Sep 13, 2018	Generative Adversarial NetworkObject	—Unverified
Is First Person Vision Challenging for Object Tracking?	Nov 24, 2020	Human-Object Interaction DetectionObject	—Unverified
IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking	Oct 30, 2024	Knowledge DistillationLanguage Modelling	—Unverified
Interval Tracker: Tracking by Interval Analysis	Jun 1, 2014	Visual Tracking	—Unverified
Deep Learning-based Spacecraft Relative Navigation Methods: A Survey	Aug 19, 2021	Deep LearningSurvey	—Unverified
Integration of the 3D Environment for UAV Onboard Visual Object Tracking	Aug 6, 2020	3D ReconstructionObject	—Unverified
Instance Significance Guided Multiple Instance Boosting for Robust Visual Tracking	Jan 19, 2015	Multiple Instance LearningVisual Tracking	—Unverified
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications	Jul 31, 2018	BenchmarkingDeep Learning	—Unverified

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All datasets TNL2K DAVIS Kinetics Kubric RGB-Stacking LaSOT OTB-100 OTB-2013 Second dialogue state tracking challenge TrackingNet

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ARTrack-L	AUC	60.3	—	Unverified
2	UNINEXT-H	AUC	59.3	—	Unverified
3	JointNLT	AUC	56.9	—	Unverified
4	OSTrack	AUC	55.9	—	Unverified
5	TransT	AUC	50.7	—	Unverified
6	AdaSwitcher	AUC	42	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAPIR (Panning MOVi-E)	Average Jaccard	61.3	—	Unverified
2	TAPIR (MOVi-E)	Average Jaccard	59.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAPIR (Panning MOVi-E)	Average Jaccard	57.2	—	Unverified
2	TAPIR (MOVi-E)	Average Jaccard	57.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAPIR (Panning MOVi-E)	Average Jaccard	84.7	—	Unverified
2	TAPIR (MOVi-E)	Average Jaccard	84.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TAPIR (MOVi-E)	Average Jaccard	66.2	—	Unverified
2	TAPIR (Panning MOVi-E)	Average Jaccard	62.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TATrack-L	AUC	71.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SiamFC-lu (Ours)	AUC	0.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SiamFC-lu (Ours)	AUC	0.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MDNet	Score	0.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TATrack-L	ACCURACY	0.85	—	Unverified