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Received:September 15, 2011 Revised:October 31, 2011
Received:September 15, 2011 Revised:October 31, 2011
中文摘要: 由于视频资料众多,如何从海量的视频数据中找到需要的视频,已经受到更高的重视,因此关键帧的提取算法越来越成为研究的热门问题。实验首先对监控视频进行了关键帧提取,然后利用摄像机标定以及灭点的方法,对人体的高度进行了分析和计算。结果表明:基于彩色直方图的语义距离,比较适用于监控视频中人物关键帧的提取。且算法简单可行,有较高的准确度,因此具有一定的实用价值。
Abstract:It is important to find what we need from the massive video, thus the research of key frame extraction algorithm is becoming more and more hot. First, the paper present the algorithm about extraction key frames from the surveillance video. Then camera calibration and vanishing point is used to analyse and calculate the height of human body. The result showed that semantic distance based on color histogram is more suitable for extracting key frame from the surveillance video. Meanwhile this algorithm of human body height is very feasible and accurate. So the algorithm has practical value.
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基金项目:河北省自然科学基金数学研究专项资助项目(08M006)
引用文本:
魏玮,吕艳,石可红.监控视频关键帧的人体高度测量算法.计算机系统应用,2012,21(6):195-198
WEI Wei,LV Yan,SHI Ke-Hong.Body Height Measurement Algorithm in Key Frame from Surveillance Video.COMPUTER SYSTEMS APPLICATIONS,2012,21(6):195-198
魏玮,吕艳,石可红.监控视频关键帧的人体高度测量算法.计算机系统应用,2012,21(6):195-198
WEI Wei,LV Yan,SHI Ke-Hong.Body Height Measurement Algorithm in Key Frame from Surveillance Video.COMPUTER SYSTEMS APPLICATIONS,2012,21(6):195-198