Real-Time Visal Motion Detection by Spatiotemporal Energy Model Implemented on GPU

5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009 213-218 頁 2009-11 発行
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タイトル ( eng )
Real-Time Visal Motion Detection by Spatiotemporal Energy Model Implemented on GPU
作成者
Hanazawa Akitoshi
収録物名
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
開始ページ 213
終了ページ 218
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.
NDC分類
技術・工学 [ 500 ]
言語
英語
資源タイプ 会議発表論文
出版者
IEEE SMC Hiroshima Chapter
発行日 2009-11
権利情報
(c) Copyright by IEEE SMC Hiroshima Chapter.
出版タイプ Version of Record(出版社版。早期公開を含む)
アクセス権 オープンアクセス
収録物識別子
[ISSN] 1883-3977
[URI] http://www.hil.hiroshima-u.ac.jp/iwcia/2009/