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Automated Vermin Detection Using Infrared Surveillance Cameras

Research Project

Project/Area Number 15K00228
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Perceptual information processing
Research InstitutionGifu University

Principal Investigator

YOKOTA Yasunari  岐阜大学, 工学部, 教授 (00262957)

Research Collaborator 環境機器株式会社  
株式会社防除研究所  
Project Period (FY) 2015-04-01 – 2018-03-31
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords害獣検知 / 異常検知 / ネズミ検知 / 動き検知 / 赤外線監視カメラ / 画像処理 / 画像認識 / パターン認識 / ネズミ検出 / 動き検出 / 害獣検出 / 移動物体検出 / 確率的追従背景差分法 / 動きの時空間的特徴 / 動きの時空間的数理モデル
Outline of Final Research Achievements

In late years, the monitoring or the exterminating the vermin such as rats or insects appeared in a restaurant or a food factory came to be strongly demanded from a surge of the interest in food safety. To perform monitoring and the extermination effectively and to confirm an effect of the extermination, the video images from infrared surveillance cameras installed at such a local site are often used. The visual inspection of the video by a human forces the inspector to a burden and causes the degradation of the inspection accuracy. Therefore, this study developed an automated detection system of the specified vermin; this system first detects moving objects in the video images from infrared surveillance cameras, then analyzes the spatio-temporal pattern of the motion of the moving objects, and compares the pattern to that of the target vermin.

Report

(4 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • Research Products

    (5 results)

All 2018 2017 2016

All Journal Article (4 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 4 results,  Acknowledgement Compliant: 2 results) Book (1 results)

  • [Journal Article] Stiffness Estimation from Arterial Wall Vibration and its Application: A new earphone for examining arteriosclerosis between music and next music2017

    • Author(s)
      Fumio Nogata, Yasunari Yokota, Yoko Kawamura, William R. Walsh, Taro Goto, Kenji Kagechika
    • Journal Title

      International Journal of Computer and Information Technology

      Volume: 6 Pages: 7-13

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Noise estimation for speech enhancement based on quasi-Gaussian distributed power spectrum series by radical root transformation2017

    • Author(s)
      Tian Ye, Yasunari Yokota
    • Journal Title

      IEICE Trans. on Fundamentals of Electronics. Communications and Computer Siences

      Volume: E100-A, No.6 Pages: 1306-1314

    • NAID

      130005685895

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Noise Estimation for Speech Enhancement Based on Quasi-Gaussian Distributed Power Spectrum Series by Radical Root Transformation2017

    • Author(s)
      Tian YE, Yasunari YOKOTA
    • Journal Title

      IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E100-A

    • NAID

      130005685895

    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Journal Article] 累乗根変換によるパワースペクトル系列の準正規分布化法と突発性ノイズに頑健なパワースペクトル密度推定への応用2016

    • Author(s)
      横田 康成,田 野
    • Journal Title

      電子情報通信学会論文誌

      Volume: J99-A Pages: 149-158

    • Related Report
      2015 Research-status Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Book] 信号処理の基礎(第2刷)2018

    • Author(s)
      横田 康成
    • Total Pages
      148
    • Publisher
      森北
    • ISBN
      9784627810518
    • Related Report
      2017 Annual Research Report

URL: 

Published: 2015-04-16   Modified: 2019-03-29  

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