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 401–410 of 525 papers

Title	Date	Tasks	Status
Kernel Cross-Correlator	Sep 12, 2017	Activity RecognitionHuman Activity Recognition	CodeCode Available
Recurrent Filter Learning for Visual Tracking	Aug 13, 2017	ObjectVisual Tracking	CodeCode Available
Learning Rotation for Kernel Correlation Filter	Aug 11, 2017	Visual Tracking	—Unverified
Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking	Aug 3, 2017	ObjectObject Tracking	—Unverified
Kernalised Multi-resolution Convnet for Visual Tracking	Aug 2, 2017	Object TrackingVisual Object Tracking	CodeCode Available
CREST: Convolutional Residual Learning for Visual Tracking	Aug 1, 2017	Visual Tracking	—Unverified
Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking	Aug 1, 2017	Visual Tracking	—Unverified
Attentional Correlation Filter Network for Adaptive Visual Tracking	Jul 21, 2017	Computational EfficiencyVisual Object Tracking	CodeCode Available
Robust Visual Tracking via Hierarchical Convolutional Features	Jul 12, 2017	Object RecognitionVisual Tracking	CodeCode Available
An In-Depth Analysis of Visual Tracking with Siamese Neural Networks	Jul 3, 2017	Visual 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