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 421–430 of 525 papers

Title	Date	Tasks	Status
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss	Nov 14, 2020	Representation LearningRgb-T Tracking	—Unverified
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation	Jan 3, 2017	Domain Adaptationimage-classification	—Unverified
Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map	Nov 25, 2020	ObjectVisual Tracking	—Unverified
Robust Object Tracking Based on Temporal and Spatial Deep Networks	Oct 1, 2017	ObjectObject Tracking	—Unverified
Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning	Aug 11, 2019	Large-Scale Person Re-IdentificationMultiple Object Tracking	—Unverified
Robust Structured Group Local Sparse Tracker Using Deep Features	Feb 18, 2019	Visual Tracking	—Unverified
Robust Structured Multi-task Multi-view Sparse Tracking	Jun 6, 2018	Visual Tracking	—Unverified
Robust Tracking Using Region Proposal Networks	May 30, 2017	ClassificationFeature Engineering	—Unverified
Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks	May 13, 2020	Object TrackingVisual Object Tracking	—Unverified
Robust Visual Tracking by Motion Analyzing	Sep 6, 2023	Object TrackingSegmentation	—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