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Paper Abstract and Keywords
Presentation 2022-09-13 13:40
Video Anomaly Detection Method using Deep Learning Models and Crowd Workers
Ryuya Itano, Tomoya Nohara, Takahiro Koita (Doshisha Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) (Not available yet)
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Conference Information
Committee ME IEICE-EMM IEICE-IE IEICE-LOIS IEE-CMN IPSJ-AVM  
Conference Date 2022-09-13 - 2022-09-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Keio Univ. Yagami Campus (Hybrid) 
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IEICE-LOIS 
Conference Code 2022-09-ME-EMM-IE-LOIS-CMN-AVM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Video Anomaly Detection Method using Deep Learning Models and Crowd Workers 
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1st Author's Name Ryuya Itano  
1st Author's Affiliation Graduate School of Doshisha University (Doshisha Univ.)
2nd Author's Name Tomoya Nohara  
2nd Author's Affiliation Doshisha University (Doshisha Univ.)
3rd Author's Name Takahiro Koita  
3rd Author's Affiliation Graduate School of Doshisha University (Doshisha Univ.)
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Date Time 2022-09-13 13:40:00 
Presentation Time 20 minutes 
Registration for IEICE-LOIS 
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Volume (vol) vol.46 
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