节点文献

A model for visual image-background discrimination by relative movement

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 陆惠民王秀春刘守忠史美德刘芳郭爱克

【Author】 LU Huimin WANG Xiuchun LIU ShouzhongSHIMeide , LIU Fang and GUO Aike(Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China)

【机构】 Institute of BiophysicsChinese Academy of Sciences Beijing 100101ChinaChina

【摘要】 <正> Biologically plausible electronic neural network setup for real time processing motion image informa-tion was built. Using this setup the first part of the model was examined and real time discrimination of moving object image was realized from complex background in high resolution. Afterimages may play an important role in filtering moving object image and the aperture problem should be separated into two parts: the first part, i.e. the incomplete filtered moving object image, can be better resolved by parallel integration of multi-channel visual information, howev-er, the second part, i.e. the inaccurate measurement results for movement direction, may only get certain compensa-tion by visual integration.

【Abstract】 Biologically plausible electronic neural network setup for real time processing motion image informa-tion was built. Using this setup the first part of the model was examined and real time discrimination of moving object image was realized from complex background in high resolution. Afterimages may play an important role in filtering moving object image and the aperture problem should be separated into two parts: the first part, i.e. the incomplete filtered moving object image, can be better resolved by parallel integration of multi-channel visual information, howev-er, the second part, i.e. the inaccurate measurement results for movement direction, may only get certain compensa-tion by visual integration.

【基金】 Project supported by the National Natural Science Foundation of China.
  • 【文献出处】 Science in China(Series C:Life Sciences) ,中国科学(C辑:生命科学)(英文版) , 编辑部邮箱 ,1997年01期
  • 【分类号】Q44
  • 【下载频次】30
节点文献中: 

本文链接的文献网络图示:

本文的引文网络