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计算机系统应用英文版:2015,24(6):148-152

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基于区域协方差的车位识别方法

丁侨俊¹, 蔡坚勇^1,2,3,4, 陈顺凡^1,4, 黄海涛¹, 刘华锐¹, 蔡娟¹

(1.福建师范大学光电与信息工程学院, 福州 350007;2.福建师范大学医学光电科学与技术教育部重点实验室, 福州 350007;3.福建师范大学福建省光子技术重点实验室, 福州 350007;4.福建师范大学智能光电系统工程研究中心, 福州 350007)

Texture-Based Covariance Matrix for Parking Lot

DING Qiao-Jun¹, CAI Jian-Yong^1,2,3,4, CHEN Shun-Fang^1,4, HUANG Hai-Tao¹, LIU Hua-Rui¹, CAI Juan¹

(1.School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China;2.Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Normal University, Fuzhou 350007, China;3.Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China;4.Intelligent Optoelectronic Systems Research Centre, Fujian Normal University, Fuzhou 350007, China)

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本文已被：浏览 1297次下载 2061次
Received:September 19, 2014 Revised:November 28, 2014

中文摘要: 提出了一种基于区域协方差的车位状态监测识别方法. 车位状态监测识别的难点在于光线的变化、阴影、以及环境的干扰, 通过提取YCbCr色彩空间的亮度Y分量, 用Sobel算子获得各个像素点水平跟垂直方向的的亮度梯度, 进而构建特征向量, 然后用区域协方差矩阵来描述车位所在的区域, 最后用协方差矩阵的距离测度特性做出车位状态(空闲/占领)判决, 与以前的方法比较具有一次采集实现多车位识别的突出优点, 且该方法对光线不明感, 鲁棒性较强.

中文关键词: YCbCr色彩空间 Sobel算子亮度梯度区域协方差矩阵距离测度

Abstract:In this paper, we proposed a method of parking space detection based on covariance matrix. The challenges of parking space detection come from luminance variation, shadow, and the interference of environment. For our solution, first of all, we extract Y-component from YCbCr color space, using Sobel operator for each pixel level with the brightness of the vertical gradient, and then construct the feature vector. Next, we use covariance matrix to describe a parking lot. Finally, we make parking state (free/occupied) with the distance of the covariance matrix measure characteristics. Compared with the previous methods, it has a great advantages of one-collection implement multiple identify parking Spaces, and a strong robustness.

keywords: YCbCr color space Sobel operator gradients of the luminance covariance Matrix distance- measure

文章编号： 中图分类号： 文献标志码：

基金项目:福建省产学科技重大项目(2013H61010023)

Author Name	Affiliation
DING Qiao-Jun	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
CAI Jian-Yong	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Centre, Fujian Normal University, Fuzhou 350007, China
CHEN Shun-Fang	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Centre, Fujian Normal University, Fuzhou 350007, China
HUANG Hai-Tao	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
LIU Hua-Rui	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
CAI Juan	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China

Author Name	Affiliation
DING Qiao-Jun	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
CAI Jian-Yong	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Key Laboratory of Optoelectronic Science and Technology for Medicine Ministry of Education, Fujian Normal University, Fuzhou 350007, China Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Centre, Fujian Normal University, Fuzhou 350007, China
CHEN Shun-Fang	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China Intelligent Optoelectronic Systems Research Centre, Fujian Normal University, Fuzhou 350007, China
HUANG Hai-Tao	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
LIU Hua-Rui	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
CAI Juan	School of Electronic College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China

引用文本：
丁侨俊,蔡坚勇,陈顺凡,黄海涛,刘华锐,蔡娟.基于区域协方差的车位识别方法.计算机系统应用,2015,24(6):148-152
DING Qiao-Jun,CAI Jian-Yong,CHEN Shun-Fang,HUANG Hai-Tao,LIU Hua-Rui,CAI Juan.Texture-Based Covariance Matrix for Parking Lot.COMPUTER SYSTEMS APPLICATIONS,2015,24(6):148-152