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 211–220 of 525 papers

Title	Date	Tasks	Status
Tracking Without Re-recognition in Humans and Machines	May 27, 2021	Decision MakingObject	—Unverified
Superevents: Towards Native Semantic Segmentation for Event-based Cameras	May 13, 2021	Depth EstimationSemantic Segmentation	—Unverified
Spatio-Temporal Matching for Siamese Visual Tracking	May 6, 2021	Object TrackingVisual Tracking	—Unverified
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking	May 6, 2021	Visual Tracking	—Unverified
Equivalence of Correlation Filter and Convolution Filter in Visual Tracking	May 1, 2021	Edge DetectionVisual Tracking	—Unverified
Occlusion-aware Visual Tracker using Spatial Structural Information and Dominant Features	Apr 16, 2021	ClusteringVisual Tracking	—Unverified
Learning Target Candidate Association to Keep Track of What Not to Track	Mar 30, 2021	Object TrackingVideo Object Tracking	—Unverified
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark	Mar 25, 2021	object-detectionObject Detection	—Unverified
High precision control and deep learning-based corn stand counting algorithms for agricultural robot	Mar 21, 2021	Model Predictive ControlVisual Tracking	—Unverified
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network	Mar 19, 2021	Computational EfficiencyMetric Learning	—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