• DocumentCode
    2814494
  • Title

    Biological inspired CMOS foveated sensor: For neural network training

  • Author

    Jeong, Yongwoo ; Titus, Albert H.

  • Author_Institution
    Dept. of Electr. Eng., SUNY - Univ. at Buffalo, Buffalo, NY, USA
  • fYear
    2011
  • fDate
    22-24 Feb. 2011
  • Firstpage
    183
  • Lastpage
    187
  • Abstract
    In this work we describe the design and testing of a custom CMOS-based motion detection system that derives its functionality from biology. The system will beone component of a CMOS visual sensor system that will identify and foveate on objects. The system is inspired by different animals that perform similar functions and have similar retinal structures. For example, we mimic frog´s eye using a hemispherical surface structure to provide a wider field of view. In addition, we mimic the human retina with a combination of fovea and peripheral light detectors. The result is a sensor array that combines these aspects to attend and foveate on objects of interest.
  • Keywords
    CMOS image sensors; biosensors; motion estimation; object detection; sensor arrays; CMOS visual sensor; biosensor; foveate; motion detection system; object identification; peripheral light detectors; sensor array; Arrays; Differential amplifiers; Logic gates; Retina; Semiconductor device measurement; Tracking; Very large scale integration; CMOS; foveate; frog; hemispherical; motion sensor; retina;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors Applications Symposium (SAS), 2011 IEEE
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    978-1-4244-8063-0
  • Type

    conf

  • DOI
    10.1109/SAS.2011.5739779
  • Filename
    5739779