文献
J-GLOBAL ID:201702284087138715
整理番号:17A0406502
群衆異常検出のための学習深部事象モデル【Powered by NICT】
Learning deep event models for crowd anomaly detection
著者 (4件):
Feng Yachuang
(Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, Shaanxi, PR China)
,
Feng Yachuang
(University of Chinese Academy of Sciences, Beijing 100049, PR China)
,
Yuan Yuan
(Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, Shaanxi, PR China)
,
Lu Xiaoqiang
(Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, Shaanxi, PR China)
資料名:
Neurocomputing
(Neurocomputing)
巻:
219
ページ:
548-556
発行年:
2017年
JST資料番号:
W0360A
ISSN:
0925-2312
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)