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 311–320 of 525 papers

Title	Date	Tasks	Status
STCT: Sequentially Training Convolutional Networks for Visual Tracking	Jun 1, 2016	Visual Tracking	—Unverified
Stochastic Channel Decorrelation Network and Its Application to Visual Tracking	Jul 3, 2018	DiversityVisual Tracking	—Unverified
StructBoost: Boosting Methods for Predicting Structured Output Variables	Feb 14, 2013	Image SegmentationMulti-class Classification	—Unverified
Structural Correlation Filter for Robust Visual Tracking	Jun 1, 2016	Computational EfficiencyVisual Tracking	—Unverified
Structural Sparse Tracking	Jun 1, 2015	Visual Tracking	—Unverified
Structured Group Local Sparse Tracker	Feb 17, 2019	Visual Tracking	—Unverified
Structured Siamese Network for Real-Time Visual Tracking	Sep 1, 2018	Real-Time Visual TrackingVisual Tracking	—Unverified
Superevents: Towards Native Semantic Segmentation for Event-based Cameras	May 13, 2021	Depth EstimationSemantic Segmentation	—Unverified
Superpixel Tensor Pooling for Visual Tracking using Multiple Midlevel Visual Cues Fusion	Oct 13, 2019	SuperpixelsVisual Tracking	—Unverified
Synthetic data generation for end-to-end thermal infrared tracking	Jun 4, 2018	Image-to-Image TranslationSynthetic Data Generation	—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