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Detection of a Hand Holding a Cellular Phone Using Multiple Image Features

  • Hiroto Nagayoshi
  • Takashi Watanabe
  • Tatsuhiko Kagehiro
  • Hisao Ogata
  • Tsukasa Yasue
  • Hiroshi Sako
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5716)

Abstract

Detection of a hand holding a cellular phone was developed to recognize whether someone is using a cellular phone while operating an automated teller machine (ATM). The purpose is to prevent money transfer fraud. Since a victim is told a bogus reason to transfer money and how to operate the machine through a cellular phone, detecting a working cellular phone is necessary.

However, cellular phone detection was not realistic due to variable colors and shapes. We assumed that a user’s hand beside the face was holding a cellular phone and decided to detect it.

The proposed method utilizes color, shape, and motion. Color and motion were used to compare the input to the face. Shape was used to compare the input to the standard hand pattern. The experimental result was a detection rate of 90.0% and a false detection rate of 3.2%, where 7,324 and 20,708 images were used respectively.

Keywords

hand detection multiple features color shape motion HOG optical flow face detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hiroto Nagayoshi
    • 1
  • Takashi Watanabe
    • 1
  • Tatsuhiko Kagehiro
    • 1
  • Hisao Ogata
    • 2
  • Tsukasa Yasue
    • 2
  • Hiroshi Sako
    • 1
  1. 1.Central Research LaboratoryHitachi Ltd.TokyoJapan
  2. 2.Hitachi-Omron Terminal Solutions, Corp.AichiJapan

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