基于蛙眼R3细胞感受野模型的运动滤波方法

李智勇; 何霜; 刘俊敏; 李仁发

doi:10.16383/j.aas.2015.c140810

基于蛙眼R3细胞感受野模型的运动滤波方法

doi: 10.16383/j.aas.2015.c140810

1.
湖南大学信息科学与工程学院嵌入式与网络计算湖南省重点实验室长沙 410082

基金项目:

国家高技术研究发展计划(863计划) (2012AA01A301-01),国家自然科学基金(91320103), 广东省省部产学研结合项目(2012A090300003),广东省科技计划项目(2013B090700003)资助

详细信息

作者简介:
何霜湖南大学信息科学与工程学院硕士研究生. 2012 年获得湖南商学院学士学位. 主要研究方向为图像处理, 运动目标跟踪.E-mail: heshuang@hnu.edu.cn

通讯作者:
李智勇湖南大学教授. 主要研究方向为动态多目标优化, 量子进化计算, 图像理解与视觉认知计算. E-mail: zhiyong.li@hnu.edu.cn

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- 文章访问数: 1708
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- 被引次数: 0
出版历程
- 收稿日期: 2014-11-25
- 修回日期: 2015-01-19
- 刊出日期: 2015-05-20

Motion Filtering by Modelling R3 Cell's Receptive Field in Frog Eyes

1.
College of Computer Science and Electronic Engineering, Hunan University, Embedded and Network Computing Key Laboratory in Hunan Province, Changsha 410082

Funds:

Supported by National High Technology Research and Development Program of China (863 Program) (2012AA01A301-01), National Natural Science Foundation of China (91320103), Special Project on the Integration of Industry, Education and Research of Guangdong Province (2012A090300003), and Science and Technology Planning Project of Guangdong Province (2013B090700003)

摘要

摘要: 视觉感受野(Visual receptive field)模型作为生物视觉感知计算的基础单元,在整个生物视觉信息加工过程中发挥着重要作用.借鉴具有运动视觉特长的生物感受野特性研究高效的运动视觉计算技术,是一种潜在可行的方法.本文基于蛙眼R3细胞感受野,在高斯差分模型(Difference of Gaussians, DOG)的基础上引入时间和空间各向异性的运动视觉表达方式, 提出一种基于蛙眼R3细胞的不对称各向异性感受野(Asymmetric anisotropy receptive field, AARF)模型,表达蛙类视觉系统对运动目标敏感的视觉时空特征.基于该运动视觉模型,进一步提出了一种面向序列图像运动目标分析的蛙眼时空运动滤波算子(Frog-based spatio-temporal motion filter, FSTMF),以实现运动目标准确检测与分析.实验结果表明,该方法具有使序列图像背景模糊、动态目标突显的滤波效果,既符合蛙眼视觉背景模糊而前景清晰的特性,也为下一步运动目标的准确检测实现了高效的预处理.
- 蛙眼视觉特性 /
- 不对称各向异性 /
- 感受野模型 /
- 蛙眼时空运动滤波分析
Abstract: As a basic unit of biological visual perception computing, the visual receptive field plays a significant role in the whole process of biological visual information processing. It is a potentially feasible method for further study of efficient computing technology based on motion visual characteristic from biological receptive field. Inspired by frog eye's R3 cell receptive field, this study introduces a spatio-temporal anisotropy motion visual presentation to the difference of Gaussians (DOG) model. Thus, an asymmetric anisotropy receptive field (AARF) model is presented. This model can express frog visual system's spatio-temporal characteristic which is sensitive to moving visual targets. Based on the motion visual model, a frog-based spatio-temporal motion filter (FSTMF) is further proposed, which aims at accurate moving object detection and analysis in sequential images and videos. The experimental results demonstrate that the proposed method can obscure the background and highlight the moving targets. It is in accordance with frog eye's vision features with background vagueness and foreground clearness. Meanwhile, the filtering method can be as efficient pre-processing for accurate detection of moving objects.
- Frog visual characteristic /
- asymmetric anisotropy /
- receptive field model /
- frog-based spatio-temporal motion filter (FSTMF)

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参考文献(21)

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基于蛙眼R3细胞感受野模型的运动滤波方法

doi: 10.16383/j.aas.2015.c140810

作者简介:
何霜湖南大学信息科学与工程学院硕士研究生. 2012 年获得湖南商学院学士学位. 主要研究方向为图像处理, 运动目标跟踪.E-mail: heshuang@hnu.edu.cn

通讯作者:
李智勇湖南大学教授. 主要研究方向为动态多目标优化, 量子进化计算, 图像理解与视觉认知计算. E-mail: zhiyong.li@hnu.edu.cn

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Motion Filtering by Modelling R3 Cell's Receptive Field in Frog Eyes

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基于蛙眼R3细胞感受野模型的运动滤波方法

doi: 10.16383/j.aas.2015.c140810

作者简介: 何霜湖 南大学信息科学与工程学院硕士研究生. 2012 年获得湖南商学院学士学位. 主要研究方向为图像处理, 运动目标跟踪.E-mail: heshuang@hnu.edu.cn

通讯作者: 李智勇 湖南大学教授. 主要研究方向为动态多目标优化, 量子进化计算, 图像理解与视觉认知计算. E-mail: zhiyong.li@hnu.edu.cn

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出版历程

Motion Filtering by Modelling R3 Cell's Receptive Field in Frog Eyes

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出版历程

目录

作者简介:
何霜湖南大学信息科学与工程学院硕士研究生. 2012 年获得湖南商学院学士学位. 主要研究方向为图像处理, 运动目标跟踪.E-mail: heshuang@hnu.edu.cn

通讯作者:
李智勇湖南大学教授. 主要研究方向为动态多目标优化, 量子进化计算, 图像理解与视觉认知计算. E-mail: zhiyong.li@hnu.edu.cn