Coupling deep correlation filter and online discriminative learning for visual object tracking
type: Item
instance of: scholarly article
title: Coupling deep correlation filter and online discriminative learning for visual object tracking
zbMATH Open document ID: 1418.68222
author: Hanhui Li
author: Hefeng Wu
author: Shujin Lin
author: Xiaonan Luo
published in: Journal of Computational and Applied Mathematics
publication date: 2017-10-27T00:00:00Z
Mathematics Subject Classification ID: 68T45
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 6798929
zbMATH Keywords: visual tracking
zbMATH Keywords: correlation filter
zbMATH Keywords: Fourier transform
zbMATH Keywords: online optimization
zbMATH Keywords: deep learning
describes a project that uses: MatConvNet
MaRDI profile type: Publication
full work available at URL: j.cam.2017.05.008
OpenAlex ID: W2617352822
cites work: Online Object Tracking With Sparse Prototypes
cites work: Maximum Margin Correlation Filter: A New Approach for Localization and Classification
cites work: Q3093359
cites work: Toeplitz and Circulant Matrices: A Review
DOI: 10.1016/J.CAM.2017.05.008
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description: scientific article; zbMATH DE number 6798929