KOIKE Hideki

ID:9000017681638

NTT Cyber Space Laboratories, NTT Corporation (2008年 CiNii収録論文より)

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  • Estimating Anomality of the Video Sequences for Surveillance Using 1-Class SVM

    SUDO Kyoko , OSAWA Tatsuya , WAKABAYASHI Kaoru , KOIKE Hideki , ARAKAWA Kenichi

    We have proposed a method to detect and quantitatively extract anomalies from surveillance videos. Using our method, anomalies are detected as patterns based on spatio-temporal features that are outli …

    IEICE Transactions on Information and Systems 91(7), 1929-1936, 2008-07-01

    J-STAGE  References (15) Cited by (1)

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