文献
J-GLOBAL ID:201902214941149096
整理番号:19A2174733
畳込みニューラルネットワークに基づくクロスビュー歩容認識のための入出力アーキテクチャについて【JST・京大機械翻訳】
On Input/Output Architectures for Convolutional Neural Network-Based Cross-View Gait Recognition
著者 (5件):
Takemura Noriko
(Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan)
,
Makihara Yasushi
(Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan)
,
Muramatsu Daigo
(Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan)
,
Echigo Tomio
(Department of Engineering Informatics, Osaka Electro-Communication University, Osaka, Japan)
,
Yagi Yasushi
(Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan)
資料名:
IEEE Transactions on Circuits and Systems for Video Technology
(IEEE Transactions on Circuits and Systems for Video Technology)
巻:
29
号:
9
ページ:
2708-2719
発行年:
2019年
JST資料番号:
W0321A
ISSN:
1051-8215
CODEN:
ITCTEM
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)