Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system

Tamás Fülöp, A. Zarándy

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

2 Citations (Scopus)

Abstract

Bio-inspired approaching object detection algorithms have been proposed since Shea, Rowell and Williams found the approaching object detection retinal circuitry of Locusta Migratoria in 1974. Recently, Botond Roska's group identified a looming sensitive circuit in mammalian retina. The newly discovered retina circuit is based on local interaction, therefore, this new discovery enables the development of efficient looming object detection algorithms for topographic kiloprocessor chips. This paper presents the bases of the new model and shows the implementation on Eye-RIS sensor-processor device.

Original languageEnglish
Title of host publication2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010
Publication statusPublished - 2010
Event2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010 - Berkeley, CA, United States
Duration: Feb 3 2010Feb 5 2010

Other

Other2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010
CountryUnited States
CityBerkeley, CA
Period2/3/102/5/10

Fingerprint

Detectors
Networks (circuits)
Sensors
Object detection

Keywords

  • Approaching object detection
  • Bio-inspired algorithm
  • Eye-RIS
  • Focal plane-processor
  • Looming object detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Fülöp, T., & Zarándy, A. (2010). Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system. In 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010 [5430290]

Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system. / Fülöp, Tamás; Zarándy, A.

2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010. 2010. 5430290.

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

Fülöp, T & Zarándy, A 2010, Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system. in 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010., 5430290, 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010, Berkeley, CA, United States, 2/3/10.
Fülöp T, Zarándy A. Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system. In 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010. 2010. 5430290
Fülöp, Tamás ; Zarándy, A. / Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system. 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010. 2010.
@inproceedings{43ee231be93646a08862fe4bb9b696d5,
title = "Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system",
abstract = "Bio-inspired approaching object detection algorithms have been proposed since Shea, Rowell and Williams found the approaching object detection retinal circuitry of Locusta Migratoria in 1974. Recently, Botond Roska's group identified a looming sensitive circuit in mammalian retina. The newly discovered retina circuit is based on local interaction, therefore, this new discovery enables the development of efficient looming object detection algorithms for topographic kiloprocessor chips. This paper presents the bases of the new model and shows the implementation on Eye-RIS sensor-processor device.",
keywords = "Approaching object detection, Bio-inspired algorithm, Eye-RIS, Focal plane-processor, Looming object detection",
author = "Tam{\'a}s F{\"u}l{\"o}p and A. Zar{\'a}ndy",
year = "2010",
language = "English",
isbn = "9781424466795",
booktitle = "2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010",

}

TY - GEN

T1 - Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system

AU - Fülöp, Tamás

AU - Zarándy, A.

PY - 2010

Y1 - 2010

N2 - Bio-inspired approaching object detection algorithms have been proposed since Shea, Rowell and Williams found the approaching object detection retinal circuitry of Locusta Migratoria in 1974. Recently, Botond Roska's group identified a looming sensitive circuit in mammalian retina. The newly discovered retina circuit is based on local interaction, therefore, this new discovery enables the development of efficient looming object detection algorithms for topographic kiloprocessor chips. This paper presents the bases of the new model and shows the implementation on Eye-RIS sensor-processor device.

AB - Bio-inspired approaching object detection algorithms have been proposed since Shea, Rowell and Williams found the approaching object detection retinal circuitry of Locusta Migratoria in 1974. Recently, Botond Roska's group identified a looming sensitive circuit in mammalian retina. The newly discovered retina circuit is based on local interaction, therefore, this new discovery enables the development of efficient looming object detection algorithms for topographic kiloprocessor chips. This paper presents the bases of the new model and shows the implementation on Eye-RIS sensor-processor device.

KW - Approaching object detection

KW - Bio-inspired algorithm

KW - Eye-RIS

KW - Focal plane-processor

KW - Looming object detection

UR - http://www.scopus.com/inward/record.url?scp=77952417380&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952417380&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:77952417380

SN - 9781424466795

BT - 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2010

ER -