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Face biometrics without intrusion in airport

机译:无需侵入机场即可进行面部生物识别

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摘要

In recent years biometric applications has start to move from research labs to real world applications. Examples of this movement are the huge amount of fingerprint sensors and the increased interest in face recognition and iris identification as mature technologies to be placed in access control. These leading technologies are in the roots of the development of two fields of interest both related with security applications. First one is the Automatic Border Crossing (ABC) systems. These systems use biometric technology to avoid police inspection of passports; data considered is mainly facial and fingerprint verification. And second one is protection of critical infrastructure. In this field, computer vision and surveillance systems are the selected technologies. Both fields can be combined in the use of placed cameras in one critical infrastructure like an airport to perform face identification. One of the main advantages of facial biometry over fingerprint or iris identification is that can be used without the awareness of the subject. This keynote speech presents a project developed in an airport to evaluate face identification considering placed cameras. Performance decreases if the subject is non-collaborative or in a high uncontrolled environment. Lessons learned and results obtained from surveillance cameras and comparison with other environments and systems will be shown.
机译:近年来,生物识别应用已经开始从研究实验室转移到现实世界中。这种运动的例子是大量的指纹传感器,以及作为要放置在访问控制中的成熟技术,人们对面部识别和虹膜识别的兴趣日益浓厚。这些领先技术植根于与安全应用程序相关的两个关注领域的发展。第一个是自动过境(ABC)系统。这些系统使用生物识别技术来避免警察检查护照。考虑的数据主要是面部和指纹验证。第二个是关键基础设施的保护。在该领域,计算机视觉和监视系统是选定的技术。这两个领域都可以在机场等重要基础设施中使用放置的摄像机进行组合,以进行人脸识别。与指纹或虹膜识别相比,面部生物特征识别的主要优势之一是可以在不了解对象的情况下使用。本主题演讲介绍了一个在机场开发的项目,旨在评估放置摄像头后的人脸识别。如果受试者没有合作或在高度不受控制的环境中,表现会下降。将展示从监控摄像机中学到的经验教训和获得的结果,以及与其他环境和系统的比较结果。

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