Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

A Computational Model for Processing Object Motion Based on Retina Neural Mechanism

Authors
Zhi hua Hu, Xiao Luo, Zhong ze Chen
Corresponding Author
Zhi hua Hu
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.167How to use a DOI?
Keywords
retina neural mechanism, retina neural network, object motion detection, computational model.
Abstract
In this paper, a bioinspired neural model for detecting object motion based on retina computational machanism is proposed based on synthesizing representative works on modeling retina and incorporating some latest findings on retina mechanisms. To understand more in-depth the retina machanism of motion detection, the spatio-temporal properties of each type of neurons in the retina motion pathway are then mathematically analyzed. And then a set of experiments and quantitative analysis of the experimental results are accomplished for assessing the model performance on motion detection. Experimental results show the effectiveness of this proposed model on detecting object motion.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.167How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhi hua Hu
AU  - Xiao Luo
AU  - Zhong ze Chen
PY  - 2013/08
DA  - 2013/08
TI  - A Computational Model for Processing Object Motion Based on Retina Neural Mechanism
BT  - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.167
DO  - https://doi.org/10.2991/icacsei.2013.167
ID  - Hu2013/08
ER  -