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 341–350 of 525 papers

Title	Date	Tasks	Status
Deep Attentive Tracking via Reciprocative Learning	Oct 9, 2018	Visual Tracking	—Unverified
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers	Sep 28, 2018	Bayesian InferenceVariational Inference	—Unverified
Adversarial Feature Sampling Learning for Efficient Visual Tracking	Sep 13, 2018	Generative Adversarial NetworkObject	—Unverified
Learning regression and verification networks for long-term visual tracking	Sep 12, 2018	General ClassificationObject	CodeCode Available
Visual Tracking via Spatially Aligned Correlation Filters Network	Sep 1, 2018	Visual Tracking	—Unverified
Structured Siamese Network for Real-Time Visual Tracking	Sep 1, 2018	Real-Time Visual TrackingVisual Tracking	—Unverified
Real-time 'Actor-Critic' Tracking	Sep 1, 2018	Reinforcement LearningVisual Tracking	—Unverified
Deep Reinforcement Learning with Iterative Shift for Visual Tracking	Sep 1, 2018	Deep Reinforcement LearningMotion Estimation	—Unverified
Distractor-aware Siamese Networks for Visual Object Tracking	Aug 18, 2018	Incremental LearningObject	CodeCode Available
Deep Learning-Based Multiple Object Visual Tracking on Embedded System for IoT and Mobile Edge Computing Applications	Jul 31, 2018	BenchmarkingDeep 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