Using fuzzy least squares support vector machine with metric learning for object tracking-Reference-Cited by-同舟云学术

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Using fuzzy least squares support vector machine with metric learning for object tracking

Published:2018-12 Issue: Volume:84 Page:112-125
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhang Shunli^ORCID,Lu Wei,Xing Weiwei,Zhang Li

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference65 articles.

1. Object tracking: a survey;Yilmaz;ACM Comput. Surv.,2006

2. Deep visual tracking: review and experimental comparison;Li;Pattern Recognit.,2018

3. Online object tracking: a benchmark;Wu,2013

4. Robust visual tracking using l1 minimization;Mei,2009

5. Incremental learning for robust visual tracking;Ross;Int. J. Comput. Vis.,2008

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