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基于背景差分法的视频目标检测算法研究 被引量:25

Video target detection algorithms based on background subtraction
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摘要 运动目标的检测是数字图像处理和模式识别以及计算机视觉领域研究的主要内容之一,也是计算机视觉研究的一个重要领域。对基于背景差分法的视频目标检测的算法进行了研究。以Matlab为主体研究工具,对视频中的运动目标进行检测。对背景差分法的原理和算法进行了研究,并对其进行了详细的讨论和分析。利用中值滤波背景模型来提取背景,并对目标的阴影进行检测与抑制。实验结果表明,采用该算法对运动目标进行检测具有良好的准确性和稳定性。 Moving target detection is one of the main contents in digital image processing and pattern recognition as well as computer vision research,it's also one of the important fields in computer vision research.Mainly study is based on background subtraction of video target detection algorithms.The main research tool is Matlab for video detecting the moving target.The principle and algorithm of background subtraction are studied,discussed and analyzed.Median background model as a tool to extract background is used,the shadows of the target is detected and inhibited.The experiment result shows that this algorithm for moving target detection with a better accuracy and stability of this paper.
出处 《黑龙江大学工程学报》 2014年第4期64-68,共5页 Journal of Engineering of Heilongjiang University
基金 黑龙江省人力资源和社会保障厅2011年度省级留学回国人员科技项目
关键词 目标检测 中值滤波背景模型 背景差分法 阴影检测抑制 Target detection median filtering background model background subtraction method shadow detection and inhibition
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参考文献7

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