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 451–460 of 525 papers

Title	Date	Tasks	Status
Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking?	Jul 30, 2016	Visual Tracking	—Unverified
Visual Tracking via Shallow and Deep Collaborative Model	Jul 27, 2016	Incremental Learningmodel	—Unverified
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network	Jul 22, 2016	Common Sense ReasoningVisual Tracking	CodeCode Available
Action Recognition with Joint Attention on Multi-Level Deep Features	Jul 9, 2016	Action RecognitionAction Recognition In Videos	—Unverified
Recurrently Target-Attending Tracking	Jun 1, 2016	Visual Tracking	—Unverified
In Defense of Sparse Tracking: Circulant Sparse Tracker	Jun 1, 2016	Visual Tracking	—Unverified
STCT: Sequentially Training Convolutional Networks for Visual Tracking	Jun 1, 2016	Visual Tracking	—Unverified
Hedged Deep Tracking	Jun 1, 2016	Visual Tracking	—Unverified
Structural Correlation Filter for Robust Visual Tracking	Jun 1, 2016	Computational EfficiencyVisual Tracking	—Unverified
ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements	Jun 1, 2016	Real-Time Visual TrackingVisual 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