• DocumentCode
    3587721
  • Title

    Regularized logistic regression based classification for infrared images

  • Author

    Mirzaei, Golrokh ; Jamali, Mohsin M. ; Gorsevski, Peter V. ; Frizado, Joseph ; Bingman, Verner P.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
  • fYear
    2014
  • Firstpage
    487
  • Lastpage
    490
  • Abstract
    There is an increase in the bird and bat mortality near wind farms. It is desirable to document and quantify behavior and activity of birds/bats near wind farms. Infrared Imaging is a useful monitoring method for this purpose. However, IR images do not provide information as whether the target is a bird, bat or insect. A logistic regression classifier is used to provide category information of the targets. There are no priori known database of images available for birds, and bats. Features of targets are extracted and used for classification purpose. A database of labeled category based on the features has been created.
  • Keywords
    computerised monitoring; feature extraction; image classification; infrared imaging; regression analysis; visual databases; wind power plants; IR images; bat mortality; bird mortality; image database; infrared images; labeled category database; logistic regression classifier; monitoring method; regularized logistic regression based classification; target category information; target feature extraction; wind farms; Birds; Databases; Decision support systems; Feature extraction; Infrared imaging; Monitoring; Wind farms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2014 48th Asilomar Conference on
  • Print_ISBN
    978-1-4799-8295-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.2014.7094491
  • Filename
    7094491