Robust visual tracking via global context regularized Locality-constrained Linear Coding

Bin Kang; Dong Liang; Zhenzhen Yang

doi:10.1016/j.ijleo.2019.02.025

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JOURNAL ARTICLE

Robust visual tracking via global context regularized Locality-constrained Linear Coding

Bin Kang Dong Liang Zhenzhen Yang

Year: 2019 Journal: Optik Vol: 183 Pages: 232-240 Publisher: Elsevier BV

DOI: 10.1016/j.ijleo.2019.02.025

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Keywords:

Computer science Clutter Neural coding Locality Sparse approximation Artificial intelligence Coding (social sciences) Computer vision Pattern recognition (psychology) Classifier (UML) Eye tracking K-SVD Robustness (evolution) Mathematics Radar

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Enhancement Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robust visual tracking via global context regularized Locality-constrained Linear Coding

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