| 基于减背景与对称差分的运动目标检测 |
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| 引用本文： | 文灏,陈红涛.基于减背景与对称差分的运动目标检测[J].微计算机信息,2007,23(25):99-101. |
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| 作者姓名： | 文灏 陈红涛 |
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| 作者单位： | 华中科技大学电信系,湖北武汉,430074 |
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| 摘 要： | 本文提出了一种基于背景相减法和对称差分法来进行运动目标检测的方法。首先通过混和高斯模型建立运动区域的背景模型,并对背景进行实时的更新,然后通过背景相减法确定运动目标区域,再和对称差分法相结合,得到比较可靠的运动目标区域。
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| 关 键 词： | 运动目标检测 高斯模型 藏背景法 对称差分 |
| 文章编号： | 1008-0570（2007）09-1-0099-03 |
| 修稿时间： | 2007-07-232007-08-15 |
Moving objects detection algorithm based on background subtraction and symmetrical differencing |
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| WEN HAO,CHEN HONGTAO.Moving objects detection algorithm based on background subtraction and symmetrical differencing[J].Control & Automation,2007,23(25):99-101. |
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| Authors: | WEN HAO CHEN HONGTAO |
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| Affiliation: | Electronics and Information Dep. Huazhong University of Science and Technology (HUST |
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| Abstract: | A novel moving object detection based on adaptive background subtraction and symmetrical differencing is presented in this paper. Firstly, a background model is based on adaptive mixture Gauss model, and update the background real-timely, then we gain the moving object region using background subtraction, and then ,we combined the background subtraction with symmetrical differencing to gain more reliable moving object region. The result of the experiment demonstrates that the algorithm runs quickly and veraciously. |
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| Keywords: | moving object detection Gauss model background subtraction symmetrical differencing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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