International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press

OPEN ACCESS
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CiteScore

IJIET 2013 Vol.5(1): 52-55
doi: 10.7763/IJCTE.2013.V5.645

Neuromorphic Visual Information Processing –Bio-inspired Vision

Woo Joon Han , Il Song Han

  • Graduate School for Green Transportation, Korea Advanced Institute of Science and Technology, 335 Gwahak-ro, Yuseong-gu, Daejeon, 305-701, Republic of Korea.

Abstract

This paper describes the early vision of bio-inspired neuromorphic system, mimicking the primitive behaviour of visual cortex. The proposed bio-inspired vision exhibits the biologically plausible function of mimicking the cat’s visual cortex experimentation of Hubel and Wiesel. The neuromorphic implementation of vision is inspired by the directional visual signal selectivity of cortex and the CMOS spiking neuron based on Hodgkin-Huxley formalism. The feasibility of neuromorphic early vision is demonstrated for applications of the transportation safety system of passengers’ occupancy detection of 95%, based on the recognition of human head figures.

Keywords

  • Neuromorphic
  • CMOS
  • vision
  • visual cortex
645-W00076

How to Cite

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Woo Joon Han and Il Song Han, "Neuromorphic Visual Information Processing –Bio-inspired Vision," International Journal of Computer Theory and Engineering, vol. 5, no. 1, pp. 52-55, 2013. https://doi.org/10.7763/IJCTE.2013.V5.645

Copyright & License

Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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