Visual tracking utilizing robust complementary learner and adaptive refiner-Reference-Cited by-同舟云学术

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Visual tracking utilizing robust complementary learner and adaptive refiner

Published:2017-10 Issue: Volume:260 Page:367-377
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Shi Rui,Wu Guile,Kang Wenxiong^ORCID,Wang Zhiyong,Feng David Dagan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference37 articles.

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

2. Real time robust l1 tracker using accelerated proximal gradient approach;Bao,2012

3. Visual tracking via adaptive structural local sparse appearance model;Jia,2012

4. Learning compact binary codes for visual tracking;Li,2013

5. Real-time tracking via on-line boosting;Grabner,2006

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Star Image Prediction and Restoration under Dynamic Conditions;Sensors;2019-04-20

2. Appearance features in Encoding Color Space for visual surveillance;Neurocomputing;2018-09

3. Spatial–temporal adaptive feature weighted correlation filter for visual tracking;Signal Processing: Image Communication;2018-09

4. Robust Visual Tracking via Patch Descriptor and Structural Local Sparse Representation;Algorithms;2018-08-15

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