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ID 28430
file
A1105.pdf 9.39 MB
creator
Hanazawa, Akitoshi
NDC
Technology. Engineering
abstract
The aim of this study is to develop a real-time visual motion detection system by using physiologically meaningful image processing algorithm. Spatiotemporal energy model has been recognized as the most plausible algorithm corresponding to the jobs in motion detection performed by simple and complex cells existing in area V1 of cats or macaque monkeys. Because of the parallelism of the brain, this algorithm inherently has high parallel performance. Together with the locality, spatiotemporal Gabor filtering and succeeding energy extraction process fit with the architecture of present GPU (Graphic Processing Unit). Enabling real-time motion detection at each pixel location over the entire input image is fundamental in many applications as for instances in robotics vision and carmounted camera. This system, moreover, is open for further expansion based on the physiological knowledge about mammalian visual system.
journal title
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
start page
213
end page
218
date of issued
2009-11
publisher
IEEE SMC Hiroshima Chapter
issn
1883-3977
language
eng
nii type
Conference Paper
HU type
Conference Papers
DCMI type
text
format
application/pdf
text version
publisher
rights
(c) Copyright by IEEE SMC Hiroshima Chapter.
relation url
department
Graduate School of Engineering