基于生物视觉特性的背景减除算法

doi:10.3969/j.issn.0253-2778.2014.04.003

中国科学技术大学学报 ›› 2014, Vol. 44 ›› Issue (4): 270-277.DOI: 10.3969/j.issn.0253-2778.2014.04.003

• 论著 • 上一篇

基于生物视觉特性的背景减除算法

钱生，张陈斌，陈宗海，王智灵

1．中国科学技术大学自动化系，安徽合肥 230027；2.中国科学院合肥物质科学研究院先进制造技术研究所,安徽合肥 230031

收稿日期:2013-08-06 修回日期:2013-09-04 接受日期:2013-09-04 出版日期:2013-09-04 发布日期:2013-09-04
通讯作者: 陈宗海
作者简介:钱生，男，1990年生，硕士生. 研究方向：计算机视觉与模式识别. E-mail：qsheng@mail.ustc.edu.cn
基金资助:
国家自然科学基金(61005091)资助.

A background subtraction algorithm based on biological vision characteristics

QIAN Sheng, ZHANG Chenbin, CHEN Zonghai, WANG Zhiling

1. Department of Automation，University of Science and Technology of China，Hefei 230027，China； 2. Institute of Advanced Manufacturing Technology, Hefei Institute of Physical Science, Chinese Academy of Science, Hefei 230031

Received:2013-08-06 Revised:2013-09-04 Accepted:2013-09-04 Online:2013-09-04 Published:2013-09-04

摘要/Abstract

摘要： 针对构建鲁棒的背景模型和背景模型更新问题，结合ViBe算法提出了一种基于生物视觉特性的背景减除算法.首先，借鉴蛙眼视觉外部特性中的近视特性，阐述了“区域模糊化理解”预处理操作的含义及其实现；其次，从人类对颜色的心理认知特性出发，给出了一种LUV颜色空间中基于韦伯定律的颜色差异度量准则；最后，从背景建模、前景检测以及背景模型更新三个主要方面，介绍了算法的具体实现.实验结果表明，该算法能够提高运动目标检测的精度.

关键词: 生物视觉, 区域模糊化理解, 韦伯定律, 背景减除, 运动目标检测

Abstract: For the problem of how to build a robust background model and update the background model, a background subtraction algorithm based on biological vision characteristics combined with the ViBe algorithm was proposed. Firstly, utilizing the extrinsic nearsightedness characteristic of the frogs visual system, the meaning of a pretreatment method called “region fuzzy” and its implementation were described. Then, considering the characteristics of color cognition by humans, a measurement criterion for color difference based on Webers law in the LUV color space was given. Finally, specific implementations of the algorithm were introduced from three main aspects: Background modeling, foreground detection and background model updating. Experimental results show that this algorithm can improve the accuracy of moving object detection.

Key words: biological vision, region fuzzily understanding, Webers law, background subtraction, moving object detection

中图分类号:

TP391

钱生，张陈斌，陈宗海，王智灵. 基于生物视觉特性的背景减除算法[J]. 中国科学技术大学学报, 2014, 44(4): 270-277.

QIAN Sheng, ZHANG Chenbin, CHEN Zonghai, WANG Zhiling. A background subtraction algorithm based on biological vision characteristics[J]. Journal of University of Science and Technology of China, 2014, 44(4): 270-277.

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基于生物视觉特性的背景减除算法

A background subtraction algorithm based on biological vision characteristics

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