Bio-inspired looming direction detection method

Tamás Fülöp, Ákos Zarándy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
DOIs
Publication statusPublished - Dec 13 2012
Event2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012 - Turin, Italy
Duration: Aug 29 2012Aug 29 2012

Publication series

NameInternational Workshop on Cellular Nanoscale Networks and their Applications
ISSN (Print)2165-0160
ISSN (Electronic)2165-0179

Other

Other2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
CountryItaly
CityTurin
Period8/29/128/29/12

Keywords

  • bio-inspired algorithm
  • direction of lateral movements
  • image processing
  • looming detection
  • retina

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Fülöp, T., & Zarándy, Á. (2012). Bio-inspired looming direction detection method. In 2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012 [6331448] (International Workshop on Cellular Nanoscale Networks and their Applications). https://doi.org/10.1109/CNNA.2012.6331448