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周期性运动物体的特征提取及其分类 被引量：1

Characteristics extraction and classification based on periodically moving object
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摘要 提出视频中周期性运动物体两种特征。第一种是通过傅里叶变换得到视频中周期性运动的频率。第二种是采用了一种基于行走模版的相似性度量作为人体运动的特征。通过支持向量机对六种行为特征进行分类实验检测,结果表明上述特征能够充分地表示视频中的行为,得到了较高的分类效果,而且该方法、简单快速。 Two kinds of characterisitics of the periodically moving object are proposed in video. The first one is the frequency by Fourier transform of the periodic motion video. The second is a similarity measure from a walking template-based as human motion characteristics. Through the support vector machine, six behavior characteristics of laboratory tests are classified. The results show that these characteristics can be fully expressed in the video acts, and have a higher classification, this method is also simple and fast.
作者 魏玮 高维娜 刘命
机构地区 河北工业大学计算机科学与软件学院
出处 《计算机工程与应用》 CSCD 2012年第35期139-142,共4页 Computer Engineering and Applications
关键词 外接矩形长宽比 关键帧 频率 相似度 external rectangular aspect ratio keyframe frequency similarity
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献8

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二级参考文献20

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共引文献33

同被引文献16

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计算机工程与应用
2012年 第35期

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