| 基于HSV颜色空间和码本模型的运动目标检测 |
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| 引用本文： | 张军,代科学,李国辉. 基于HSV颜色空间和码本模型的运动目标检测[J]. 系统工程与电子技术, 2008, 30(3): 423-427 |
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| 作者姓名： | 张军 代科学 李国辉 |
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| 作者单位： | 国防科技大学信息系统与管理学院系统工程系,湖南,长沙,410073 |
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| 摘 要： | 码本模型的思想就是根据像素的颜色失真程度和亮度范围将背景像素值量化后用码本表示,然后利用减背景思想对新输入像素值与其对应像素码本做比较判断,从而提取出前景运动目标像素。提出将像素从RGB空间转换到HSV空间来计算颜色失真度,多种像素亮度和颜色失真度计算方法的对比实验结果表明,该方法能取得更好的目标检测效果。
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| 关 键 词： | 减背景 码本 监控视频 目标检测 |
| 文章编号： | 1001-506X(2008)03-0423-05 |
| 修稿时间： | 2007-03-21 |
HSV color-space and codebook model based moving objects detection |
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| ZHANG Jun,DAI Ke-xue,LI Guo-hui. HSV color-space and codebook model based moving objects detection[J]. System Engineering and Electronics, 2008, 30(3): 423-427 |
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| Authors: | ZHANG Jun DAI Ke-xue LI Guo-hui |
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| Abstract: | The codebook model represents each background pixel with some codeword based on its color distortion and brightness range.Then input pixel values of new frame are compared with the codebooks for identifying foreground pixels.Pixels are converted from RGB space to HSV space to compute pixel color distortion.Several methods of computing color distortion and brightness are experimented for contrast.The results show the new idea achieves better effectiveness for detecting moving objects. |
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| Keywords: | background subtraction codebook surveillance video object detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
