General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2013 Vol.5(1): 52-55 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.645

Neuromorphic Visual Information Processing –Bio-inspired Vision

Woo Joon Han and Il Song Han

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.

Index Terms—Neuromorphic, CMOS, vision, visual cortex.

The authors are with the Graduate School for Green Transportation, Korea Advanced Institute of Science and Technology, 335 Gwahak-ro, Yuseong-gu, Daejeon, 305-701, Republic of Korea (e-mail: wj.han7@gmail.com, i.s.han@kaist.ac.kr ).

[PDF]

Cite: 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.


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