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首页> 外文期刊>IEEE Transactions on Pattern Analysis and Machine Intelligence >Soft Biometrics; Human Identification Using Comparative Descriptions
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Soft Biometrics; Human Identification Using Comparative Descriptions

机译：软生物识别；使用比较描述进行人类识别

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摘要

Soft biometrics are a new form of biometric identification which use physical or behavioral traits that can be naturally described by humans. Unlike other biometric approaches, this allows identification based solely on verbal descriptions, bridging the semantic gap between biometrics and human description. To permit soft biometric identification the description must be accurate, yet conventional human descriptions comprising of absolute labels and estimations are often unreliable. A novel method of obtaining human descriptions will be introduced which utilizes comparative categorical labels to describe differences between subjects. This innovative approach has been shown to address many problems associated with absolute categorical labels—most critically, the descriptions contain more objective information and have increased discriminatory capabilities. Relative measurements of the subjects’ traits can be inferred from comparative human descriptions using the Elo rating system. The resulting soft biometric signatures have been demonstrated to be robust and allow accurate recognition of subjects. Relative measurements can also be obtained from other forms of human representation. This is demonstrated using a support vector machine to determine relative measurements from gait biometric signatures—allowing retrieval of subjects from video footage by using human comparisons, bridging the semantic gap.
机译：软生物特征识别是一种新形式的生物特征识别，它利用人类可以自然描述的身体或行为特征。与其他生物识别方法不同，这允许仅基于口头描述进行识别，弥合生物识别和人类描述之间的语义鸿沟。为了允许进行软生物识别，描述必须准确，但是包括绝对标记和估计在内的常规人类描述通常是不可靠的。将介绍一种获得人类描述的新颖方法，该方法利用比较分类标签来描述主题之间的差异。事实证明，这种创新方法可以解决与绝对类别标签相关的许多问题-最关键的是，说明中包含更多客观信息，并且具有增强的区分能力。可以使用Elo评分系统从比较的人类描述中推断出受试者特征的相对量度。结果表明，所产生的软生物特征签名具有鲁棒性，可以准确识别对象。相对度量也可以从其他形式的人类表示中获得。使用支持向量机从步态生物特征识别中确定相对测量值可以证明这一点-允许通过使用人类比较从视频镜头中检索主题，弥合语义鸿沟。

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