Method for Identifying Individuals Using Lip Motion Features
Method for Identifying Individuals Using Lip Motion Features
复制标题
使用嘴唇运动特征识别个人的方法
DOI：
10.3169/itej.60.1964
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Satohumi Kurisu
中科院分区：
文献类型：
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作者：
Yoichi Shirasawa;Shin Miura;M. Nishida;Y. Kageyama;Satohumi Kurisu
语音速度是不规则的，在每个扬声器，但是，重要的是要调整语音数据的结构，并允许区域差异（口音或方言）时，确定一个人的嘴唇运动特征。我们提出了一种方法来识别个人通过分析三种嘴唇运动特征：唇宽，唇长，唇角。分析的基础上得到的这些特征的相对值，从主框架和目标框架。所提出的方法的过程包括三个步骤：自动提取的嘴唇运动特征的主帧，改变的标准化数据结构，和个人识别的模糊推理。利用该方法对17名受试者的唇动特征进行了分析，识别成功率为100%。累积匹配率（CMR）的结果表明，所提出的方法可以用来识别个人更准确地比DP匹配。
Speech speed is irregular in each speaker; however, it is important to adjust the structure of the speech data and allow for regional differences (accents or dialects) when identifying a person by their lip motion features. We propose a method to identify individuals by analyzing three kinds of lip motion features: lip width, lip length, and lip angle. The analysis is made on the basis of these features' relative values obtained from the primary and object frame. The proposed method's procedure involves three steps: automatic extraction of the lip motion features from the primary frame, change of the standardized data structure, and individual identification by fuzzy reasoning. We analyzed the lip motion features of 17 subjects using the proposed method, and achieved a successful identification rate of 100%. The results of the cumulative match rate (CMR) suggest that the proposed approach can be used to identify individuals more accurately than can DP matching.