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ID 19686
Eprint ID
19686
フルテキストURL
著者
Hanazawa Akitoshi Kyushu Institute of Technology
抄録
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.
発行日
2009-11-11
出版物タイトル
Proceedings : Fifth International Workshop on Computational Intelligence & Applications
2009巻
1号
出版者
IEEE SMC Hiroshima Chapter
開始ページ
213
終了ページ
218
ISSN
1883-3977
NCID
BB00577064
資料タイプ
会議発表論文
言語
English
著作権者
IEEE SMC Hiroshima Chapter
イベント
5th International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2009
イベント地
東広島市
イベント地の別言語
Higashi-Hiroshima City
論文のバージョン
publisher
査読
有り
Eprints Journal Name
IWCIA