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 131–140 of 525 papers

Title	Date	Tasks	Status
Depth-Adaptive Computational Policies for Efficient Visual Tracking	Jan 1, 2018	ObjectObject Tracking	—Unverified
Active Learning for Deep Visual Tracking	Oct 17, 2021	Active LearningDiversity	—Unverified
Fast Tracking via Spatio-Temporal Context Learning	Nov 8, 2013	PositionVisual Tracking	—Unverified
Fusion with Diffusion for Robust Visual Tracking	Dec 1, 2012	ClusteringVisual Tracking	—Unverified
Deformable Parts Correlation Filters for Robust Visual Tracking	May 12, 2016	ObjectObject Localization	—Unverified
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking	Feb 28, 2015	Visual Tracking	—Unverified
Adversarial Feature Sampling Learning for Efficient Visual Tracking	Sep 13, 2018	Generative Adversarial NetworkObject	—Unverified
Deep Tracking: Visual Tracking Using Deep Convolutional Networks	Dec 13, 2015	Visual Tracking	—Unverified
DeepSORT-Driven Visual Tracking Approach for Gesture Recognition in Interactive Systems	May 11, 2025	Gesture Recognitionmultimodal interaction	—Unverified
Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking	Apr 6, 2020	Semantic SimilaritySemantic Textual Similarity	—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