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基于HSV颜色空间和码本模型的运动目标检测 被引量：14

HSV color-space and codebook model based moving objects detection
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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。 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.
作者 张军 代科学 李国辉
机构地区 国防科技大学信息系统与管理学院系统工程系
出处 《系统工程与电子技术》 EI CSCD 北大核心 2008年第3期423-427,共5页 Systems Engineering and Electronics
关键词 减背景 码本 监控视频 目标检测 background subtraction codebook surveillance video object detection
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献13

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二级参考文献47

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共引文献168

同被引文献91

  • 1王鼎,沈辉,娄海涛.一种基于H-CrCb颜色空间的肤色检测算法研究[J].计算机科学,2012,39(S2):223-226. 被引量：6
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  • 3邵春福,赵熠,吴戈.道路交通数据采集技术研究展望[J].现代交通技术,2006,3(6):66-70. 被引量：15
  • 4代科学,李国辉.一种基于码本的监控视频运动目标检测算法[J].计算机工程,2007,33(14):27-29. 被引量：8
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引证文献14

二级引证文献67

系统工程与电子技术
2008年 第3期

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