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 331–340 of 525 papers

Title	Date	Tasks	Status
Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling	Nov 19, 2018	Multi-Task LearningMULTI-VIEW LEARNING	CodeCode Available
ATOM: Accurate Tracking by Overlap Maximization	Nov 19, 2018	General ClassificationObject Tracking	CodeCode Available
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning	Nov 8, 2018	Deep Reinforcement Learningreinforcement-learning	—Unverified
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking	Nov 6, 2018	image-classificationImage Classification	—Unverified
Real-Time Visual Tracking and Identification for a Team of Homogeneous Humanoid Robots	Oct 15, 2018	Real-Time Visual TrackingVisual Tracking	—Unverified
Efficient Multi-level Correlating for Visual Tracking	Oct 13, 2018	Visual Tracking	—Unverified
FPGA-based Acceleration System for Visual Tracking	Oct 12, 2018	Real-Time Visual TrackingVisual Tracking	—Unverified
Deep Attentive Tracking via Reciprocative Learning	Oct 9, 2018	Visual Tracking	—Unverified
3D model silhouette-based tracking in depth images for puppet suit dynamic video-mapping	Oct 9, 2018	Visual Tracking	—Unverified
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers	Sep 28, 2018	Bayesian InferenceVariational Inference	—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