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Autoencoder-based abnormal activity detection using parallelepiped spatiotemporal region.

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Title: Autoencoder-based abnormal activity detection using parallelepiped spatiotemporal region.
Authors: George, Michael1, michaelgeorge@cusat.ac.in, Jose, Babita Roslind1, Mathew, Jimson2, Kokare, Pranjali2
Source: IET Computer Vision (Wiley-Blackwell); 2019, Vol. 13 Issue 1, p23-30, 8p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 134816672
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Autoencoder-based abnormal activity detection using parallelepiped spatiotemporal region.
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  Data: <searchLink fieldCode="JN" term="%22IET+Computer+Vision+%28Wiley-Blackwell%29%22">IET Computer Vision (Wiley-Blackwell)</searchLink>; 2019, Vol. 13 Issue 1, p23-30, 8p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=134816672
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1049/iet-cvi.2018.5240
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 8
        StartPage: 23
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      – TitleFull: Autoencoder-based abnormal activity detection using parallelepiped spatiotemporal region.
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            NameFull: George, Michael
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            NameFull: Jose, Babita Roslind
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            NameFull: Mathew, Jimson
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              Text: 2019
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              Y: 2019
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              Value: 13
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