publication . Article . Other literature type . 2018

Manifold Regularized Correlation Object Tracking

Hongwei Hu; Bo Ma; Jianbing Shen; Ling Shao;
Open Access English
  • Published: 01 May 2018
  • Country: Japan
Abstract
In this paper, we propose a manifold regularized correlation tracking method with augmented samples. To make better use of the unlabeled data and the manifold structure of the sample space, a manifold regularization-based correlation filter is introduced, which aims to assign similar labels to neighbor samples. Meanwhile, the regression model is learned by exploiting the block-circulant structure of matrices resulting from the augmented translated samples over multiple base samples cropped from both target and nontarget regions. Thus, the final classifier in our method is trained with positive, negative, and unlabeled base samples, which is a semisupervised lear...
Subjects
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
free text keywords: Computer Networks and Communications, Software, Artificial Intelligence, Computer Science Applications, Video tracking, business.industry, business, Manifold alignment, Machine learning, computer.software_genre, computer, Computer science, Matrix (mathematics), Classifier (linguistics), Visualization, Sample space, Correlation, Pattern recognition, Manifold
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publication . Article . Other literature type . 2018

Manifold Regularized Correlation Object Tracking

Hongwei Hu; Bo Ma; Jianbing Shen; Ling Shao;