JP7367775B2 - 特徴学習システム、特徴学習方法およびプログラム - Google Patents

特徴学習システム、特徴学習方法およびプログラム Download PDF

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JP7367775B2
JP7367775B2 JP2021566607A JP2021566607A JP7367775B2 JP 7367775 B2 JP7367775 B2 JP 7367775B2 JP 2021566607 A JP2021566607 A JP 2021566607A JP 2021566607 A JP2021566607 A JP 2021566607A JP 7367775 B2 JP7367775 B2 JP 7367775B2
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諒 川合
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NEC Corp
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    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
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    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/107—Static hand or arm

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JP2021566607A 2019-12-24 2019-12-24 特徴学習システム、特徴学習方法およびプログラム Active JP7367775B2 (ja)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011194073A (ja) 2010-03-19 2011-10-06 Konami Digital Entertainment Co Ltd ゲーム装置、ゲーム装置の制御方法、及びプログラム
JP2012174222A (ja) 2011-02-24 2012-09-10 Olympus Corp 画像認識プログラム、方法及び装置
CN111144217A (zh) 2019-11-28 2020-05-12 重庆邮电大学 一种基于人体三维关节点检测的动作评价方法

Family Cites Families (4)

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Publication number Priority date Publication date Assignee Title
JP5992276B2 (ja) * 2012-09-20 2016-09-14 株式会社東芝 人物認識装置、及び方法
CN105589914B (zh) * 2015-07-20 2018-07-06 广州市动景计算机科技有限公司 一种网页页面的预读取方法、装置及智能终端设备
US10769255B2 (en) * 2015-11-11 2020-09-08 Samsung Electronics Co., Ltd. Methods and apparatuses for adaptively updating enrollment database for user authentication
US11854308B1 (en) * 2016-02-17 2023-12-26 Ultrahaptics IP Two Limited Hand initialization for machine learning based gesture recognition

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011194073A (ja) 2010-03-19 2011-10-06 Konami Digital Entertainment Co Ltd ゲーム装置、ゲーム装置の制御方法、及びプログラム
JP2012174222A (ja) 2011-02-24 2012-09-10 Olympus Corp 画像認識プログラム、方法及び装置
CN111144217A (zh) 2019-11-28 2020-05-12 重庆邮电大学 一种基于人体三维关节点检测的动作评价方法

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
HADSELL, Raia et al.，Dimensionality Reduction by Learning an Invariant Mapping，Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition，2006年12月31日，Volume II，ISSN 1063-6919
WANG, Jiang et al.，Learning Fine-grained Image Similarity with Deep Ranking，Proceedings of the 2014 IEEE Confetence on Computer Vision and Pattern Recognition，2014年12月31日，pp.1386-1393，ISSN 1063-6919
和泉潔ほか，マルチエージェントのためのデータ解析，初版第1刷，東京: 株式会社コロナ社，2017年08月16日，pp.27-39，ISBN 978-4-339-02812-6
白石達也ほか，知覚による口形素定義に基づくコーパスベース発話顔画像合成，日本音響学会2003年春季研究発表会講演論文集 -I-，2003年03月18日，pp.399-400，ISSN 1340-3168

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