Visual Object Tracking

Visual Object Tracking is an important research topic in computer vision, image understanding and pattern recognition. Given the initial state (centre location and scale) of a target in the first frame of a video sequence, the aim of Visual Object Tracking is to automatically obtain the states of the object in the subsequent video frames.

Source: Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 301–341 of 341 papers

Title	Date	Tasks	Status	Hype
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach	Jul 24, 2017	feature selectionObject Recognition	—Unverified	0
Attentional Correlation Filter Network for Adaptive Visual Tracking	Jul 21, 2017	Computational EfficiencyVisual Object Tracking	CodeCode Available	0
Spectral Filter Tracking	Jul 18, 2017	Graph MatchingObject Tracking	—Unverified	0
Online Adaptation of Convolutional Neural Networks for Video Object Segmentation	Jun 28, 2017	ObjectSegmentation	—Unverified	0
Learning Spatial-Aware Regressions for Visual Tracking	Jun 22, 2017	regressionVisual Object Tracking	CodeCode Available	0
Object Tracking based on Quantum Particle Swarm Optimization	May 24, 2017	Image RetrievalObject	—Unverified	0
Quadruplet Network with One-Shot Learning for Fast Visual Object Tracking	May 19, 2017	Object TrackingOne-Shot Learning	—Unverified	0
Good Features to Correlate for Visual Tracking	Apr 20, 2017	General ClassificationObject	CodeCode Available	0
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking	Mar 17, 2017	Object TrackingVisual Object Tracking	CodeCode Available	0
Deep Reinforcement Learning for Visual Object Tracking in Videos	Jan 31, 2017	Decision MakingDeep Reinforcement Learning	—Unverified	0
Video Propagation Networks	Dec 16, 2016	SegmentationSemantic Segmentation	—Unverified	0
Learning Video Object Segmentation from Static Images	Dec 8, 2016	Instance SegmentationObject	CodeCode Available	0
Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking	Dec 1, 2016	AttributeObject Tracking	—Unverified	0
ECO: Efficient Convolution Operators for Tracking	Nov 28, 2016	CPUDiversity	CodeCode Available	0
Discriminative Correlation Filter with Channel and Spatial Reliability	Nov 25, 2016	CPUVisual Object Tracking	CodeCode Available	0
One-Shot Video Object Segmentation	Nov 16, 2016	Foreground SegmentationObject	CodeCode Available	1
Convolutional Regression for Visual Tracking	Nov 14, 2016	Object Trackingregression	—Unverified	0
Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed Traffic	Nov 8, 2016	Multiple Object TrackingObject	CodeCode Available	0
Discriminative Scale Space Tracking	Sep 20, 2016	Object TrackingVisual Object Tracking	—Unverified	0
Modeling and Propagating CNNs in a Tree Structure for Visual Tracking	Aug 25, 2016	Object TrackingVisual Object Tracking	—Unverified	0
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking	Aug 12, 2016	Object TrackingPoint Tracking	CodeCode Available	0
Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking	Jul 19, 2016	Binary Classificationobject-detection	CodeCode Available	0
Learning feed-forward one-shot learners	Jun 16, 2016	Object TrackingOne-Shot Learning	—Unverified	0
Instance-Level Video Segmentation From Object Tracks	Jun 1, 2016	ClusteringObject	—Unverified	0
Once for All: a Two-flow Convolutional Neural Network for Visual Tracking	Apr 26, 2016	AllObject	—Unverified	0
Multi-modal Tracking for Object based SLAM	Mar 14, 2016	ObjectObject Tracking	—Unverified	0
Fast Integral Image Estimation at 1% measurement rate	Jan 27, 2016	Object TrackingVisual Object Tracking	—Unverified	0
SSD: Single Shot MultiBox Detector	Dec 8, 2015	LIDAR Semantic SegmentationLow-Light Image Enhancement	CodeCode Available	2
Staple: Complementary Learners for Real-Time Tracking	Dec 4, 2015	regressionVideo Object Tracking	CodeCode Available	0
Exploring Causal Relationships in Visual Object Tracking	Dec 1, 2015	ObjectObject Tracking	—Unverified	0
Multiple Feature Fusion via Weighted Entropy for Visual Tracking	Dec 1, 2015	ObjectObject Tracking	—Unverified	0
Hierarchical Convolutional Features for Visual Tracking	Dec 1, 2015	Object RecognitionObject Tracking	—Unverified	0
Video Tracking Using Learned Hierarchical Features	Nov 25, 2015	Domain AdaptationNetwork Embedding	—Unverified	0
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks	Nov 19, 2015	ObjectObject Tracking	—Unverified	0
Online Object Tracking with Proposal Selection	Sep 30, 2015	ObjectObject Tracking	—Unverified	0
An Experimental Survey on Correlation Filter-based Tracking	Sep 18, 2015	Object TrackingSurvey	—Unverified	0
Online Adaptive Hidden Markov Model for Multi-Tracker Fusion	Apr 23, 2015	Object TrackingVisual Object Tracking	—Unverified	0
Visual object tracking performance measures revisited	Feb 20, 2015	ObjectObject Tracking	—Unverified	0
An equalised global graphical model-based approach for multi-camera object tracking	Feb 12, 2015	ObjectObject Tracking	CodeCode Available	0
Adaptive Objectness for Object Tracking	Jan 5, 2015	ObjectObject Tracking	—Unverified	0
10,000+ Times Accelerated Robust Subset Selection (ARSS)	Sep 12, 2014	10-shot image generationAction Recognition	—Unverified	0

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All datasets LaSOT GOT-10k TrackingNet LaSOT-ext OTB-2015 UAV123 TNL2K VOT2017/18 DiDi NeedForSpeed YouTube-VOS 2018 AVisT

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SPMTrack-G	AUC	77.4	—	Unverified
2	SPMTrack-L	AUC	76.8	—	Unverified
3	MCITrack-L384	AUC	76.6	—	Unverified
4	LoRAT-g-378	AUC	76.2	—	Unverified
5	MCITrack-B224	AUC	75.3	—	Unverified
6	DAM4SAM	AUC	75.1	—	Unverified
7	LoRAT-L-378	AUC	75.1	—	Unverified
8	SPMTrack-B	AUC	74.9	—	Unverified
9	RTracker-L	AUC	74.7	—	Unverified
10	SAMURAI-L	AUC	74.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAMURAI-L	Average Overlap	81.7	—	Unverified
2	DAM4SAM	Average Overlap	81.1	—	Unverified
3	SPMTrack-G	Average Overlap	81	—	Unverified
4	MITS	Average Overlap	80.4	—	Unverified
5	MCITrack-L384	Average Overlap	80	—	Unverified
6	SPMTrack-L	Average Overlap	80	—	Unverified
7	ARTrackV2-L	Average Overlap	79.5	—	Unverified
8	LoRAT-g-378	Average Overlap	78.9	—	Unverified
9	ARTrack-L	Average Overlap	78.5	—	Unverified
10	ODTrack-L	Average Overlap	78.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DropTrack	Normalized Precision	88.9	—	Unverified
2	MCITrack-L384	Accuracy	87.9	—	Unverified
3	SPMTrack-G	Accuracy	87.3	—	Unverified
4	SPMTrack-L	Accuracy	86.9	—	Unverified
5	MCITrack-B224	Accuracy	86.3	—	Unverified
6	ODTrack-L	Accuracy	86.1	—	Unverified
7	ARTrackV2-L	Accuracy	86.1	—	Unverified
8	SPMTrack-B	Accuracy	86.1	—	Unverified
9	MixViT-L(ConvMAE)	Accuracy	86.1	—	Unverified
10	LoRAT-g-378	Accuracy	86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAMURAI-L	AUC	61	—	Unverified
2	DAM4SAM	AUC	60.9	—	Unverified
3	LoRAT-L-378	AUC	56.6	—	Unverified
4	LoRAT-g-378	AUC	56.5	—	Unverified
5	UNINEXT-H	AUC	56.2	—	Unverified
6	MCITrack-L384	AUC	55.7	—	Unverified
7	RTracker-L	AUC	54.9	—	Unverified
8	MCITrack-B224	AUC	54.6	—	Unverified
9	ODTrack-L	AUC	53.9	—	Unverified
10	ARTrackV2-L	AUC	53.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GradNet	Precision	0.86	—	Unverified
2	SPMTrack-B	AUC	0.73	—	Unverified
3	ODTrack-L	AUC	0.72	—	Unverified
4	ODTrack-B	AUC	0.72	—	Unverified
5	STMTrack	AUC	0.72	—	Unverified
6	SAMURAI-L	AUC	0.72	—	Unverified
7	PiVOT-L	AUC	0.71	—	Unverified
8	HIPTrack	AUC	0.71	—	Unverified
9	KeepTrack	AUC	0.71	—	Unverified
10	TRASFUST	AUC	0.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LoRAT-g-378	AUC	0.74	—	Unverified
2	NeighborTrack-OSTrack	AUC	0.73	—	Unverified
3	LoRAT-L-378	AUC	0.73	—	Unverified
4	SPMTrack-B	AUC	0.72	—	Unverified
5	ARTrackV2-L	AUC	0.72	—	Unverified
6	ARTrack-L	AUC	0.71	—	Unverified
7	OSTrack -384	AUC	0.71	—	Unverified
8	AiATrack	AUC	0.71	—	Unverified
9	HIPTrack	AUC	0.71	—	Unverified
10	MixFormer	AUC	0.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MCITrack-L384	AUC	65.3	—	Unverified
2	SPMTrack-G	AUC	64.7	—	Unverified
3	SPMTrack-L	AUC	63.7	—	Unverified
4	MCITrack-B224	AUC	62.9	—	Unverified
5	LoRAT-g-378	AUC	62.7	—	Unverified
6	LoRAT-L-378	AUC	62.3	—	Unverified
7	SPMTrack-B	AUC	62	—	Unverified
8	ODTrack-L	AUC	61.7	—	Unverified
9	ARTrackV2-L	AUC	61.6	—	Unverified
10	ODTrack-B	AUC	60.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SiamMask_E	Expected Average Overlap (EAO)	0.45	—	Unverified
2	SiamFC++	Expected Average Overlap (EAO)	0.43	—	Unverified
3	SiamRPN++_R	Expected Average Overlap (EAO)	0.42	—	Unverified
4	THOR-SiamRPN	Expected Average Overlap (EAO)	0.42	—	Unverified
5	SiamRPN++	Expected Average Overlap (EAO)	0.41	—	Unverified
6	THOR-SiamMask	Expected Average Overlap (EAO)	0.41	—	Unverified