Art

J-GLOBAL ID：202002271399095572   Reference number：20A0741653

A robust visual tracking method via local feature extraction and saliency detection

局所特徴抽出と顕著性検出によるロバストな視覚追跡法【JST・京大機械翻訳】

Author (6)： Wang Yong (School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada) ,  Wang Yong (Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences (CAS), Fuzhou, China) ,  Wei Xian (Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences (CAS), Fuzhou, China) ,  Ding Lu (School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China) ,  Tang Xiaoliang (Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences (CAS), Fuzhou, China) ,  Zhang Huanlong (College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China)
Material： Visual Computer
Volume： 36  Issue： 4  Page： 683-700  Publication year： 2020 
JST Material Number： T0285A  ISSN： 0178-2789  CODEN： VICOE5  Document type： Article
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Abstract/Point： Abstract: Visual object tracki...

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Thesaurus term： computer vision ,  formulation ,  likelihood function ,  video recorder ,  algorithm ,  fast Fourier transformation ,  *visual sense ,  *robustness ,  Learning ,  pursuit problem ,  *local feature
Semi thesaurus term： 顕著性マップ ,  物体追跡 ,  *ビジュアルトラッキング , 【Automatic Indexing@JST】

Author keywords (4)： Visual object tracking ,  Locally adaptive regression kernel ,  Correlation filter tracking ,  Saliency detection

JST classification (2)： Graphic and image processing in general  (JE04010I) ,  Pattern recognition  (JE07000S)

Terms in the title (3)： 局所特徴 ,  ロバスト ,  視覚追跡