| 建立灰度图像的背景模型方法研究 |
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| 引用本文： | 龙钧宇,张向群.建立灰度图像的背景模型方法研究[J].信息技术与信息化,2006,25(3):114-117. |
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| 作者姓名： | 龙钧宇 张向群 |
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| 作者单位： | [1]广东省科技干部学院电子工程系,珠海519000 [2]许昌学院计算机科学与技术学院,河南许昌461000 |
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| 摘 要： | 建立背景模型是在灰度图像序列中进行目标跟踪常用的方法。建立背景模型的目的是对背景象素点的分布及其变化情况作一个描述，以便将前景目标从背景中分离出来。本文对几种建立背景模型的方法做了比较，并通过实验分析了各自的优缺点。
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| 关 键 词： | 背景模型 均值 方差 |
| 修稿时间： | 2006年1月13日 |
Research on the Algorithms of Establishing Background Model at Gray-Scale Image Sequences |
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| LONG Jun-yu ZHANG Xiang-qun.Research on the Algorithms of Establishing Background Model at Gray-Scale Image Sequences[J].Information Technology & Informatization,2006,25(3):114-117. |
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| Authors: | LONG Jun-yu ZHANG Xiang-qun |
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| Affiliation: | LONG Jun-yu ZHANG Xiang-qun |
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| Abstract: | Establishing background model is an algorithm which is in common use by object tracking at gray-scale image sequences. The purpose of establishing background model is to describe the distribution and the changing of the background pixels, then separating the foreground objects from the background. In this paper, some algorithms to establish the background model were presented and compared, and their advantages and shortcomings were analyzed by our experiment. |
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| Keywords: | Background model Mean Covariance |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
