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 481–490 of 525 papers

Title	Date	Tasks	Status
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks	Nov 19, 2015	ObjectObject Tracking	—Unverified
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking	Oct 27, 2015	Binary ClassificationGeneral Classification	CodeCode Available
Relaxed Multiple-Instance SVM with Application to Object Discovery	Oct 5, 2015	General Classificationimage-classification	—Unverified
Visual Tracking via Nonnegative Regularization Multiple Locality Coding	Oct 5, 2015	Object TrackingVisual Tracking	—Unverified
Efficient Discriminative Nonorthogonal Binary Subspace with its Application to Visual Tracking	Sep 28, 2015	feature selectionObject	—Unverified
Robust Visual Tracking via Inverse Nonnegative Matrix Factorization	Sep 20, 2015	Visual Tracking	—Unverified
Online Metric-Weighted Linear Representations for Robust Visual Tracking	Jul 21, 2015	Metric LearningObject	—Unverified
Long-Term Correlation Tracking	Jun 1, 2015	TranslationVisual Tracking	—Unverified
Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters	Jun 1, 2015	Bayesian InferenceObject Tracking	—Unverified
Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches	Jun 1, 2015	ClusteringVisual Tracking	—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