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ID 19686
Eprint ID
19686
FullText URL
Author
Hanazawa Akitoshi
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.
Published Date
2009-11-11
Publication Title
Proceedings : Fifth International Workshop on Computational Intelligence & Applications
Volume
volume2009
Issue
issue1
Publisher
IEEE SMC Hiroshima Chapter
Start Page
213
End Page
218
ISSN
1883-3977
NCID
BB00577064
Content Type
Conference Paper
language
英語
Copyright Holders
IEEE SMC Hiroshima Chapter
Event Title
5th International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2009
Event Location
東広島市
Event Location Alternative
Higashi-Hiroshima City
File Version
publisher
Refereed
True
Eprints Journal Name
IWCIA