• DocumentCode
    1815767
  • Title

    Bio-inspired looming direction detection method

  • Author

    Fülöp, Tamás ; Zarándy, Ákos

  • Author_Institution
    Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
  • fYear
    2012
  • fDate
    29-31 Aug. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The retina inspired approaching object detection algorithm - based on the recently identified Pvlab-5 ganglion cell - is a computationally easy segmentation free method. The original method can detect only the dark looming objects against bright background. This paper shows a modified algorithm, which can detect any looming and recessing objects against dark or bright background. Moreover, we show a post processing evaluation method, which can measure the lateral motion direction using the spatial-temporal activities of the ganglion cells without introducing any hard calculation.
  • Keywords
    computer vision; eye; image motion analysis; object detection; Pvlab-5 ganglion cell; bio-inspired looming direction detection method; bright background; computationally easy segmentation free method; dark background; dark looming object; lateral motion direction; post processing evaluation method; recessing object detection; retina inspired approaching object detection algorithm; spatial-temporal activity; Cameras; Computational modeling; Context; Mathematical model; Object detection; Retina; Vectors; bio-inspired algorithm; direction of lateral movements; image processing; looming detection; retina;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
  • Conference_Location
    Turin
  • ISSN
    2165-0160
  • Print_ISBN
    978-1-4673-0287-6
  • Type

    conf

  • DOI
    10.1109/CNNA.2012.6331448
  • Filename
    6331448