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Commentary Paper on 'Video Surveillance for Biometrics: Long-Range Multi-biometric System'

机译:关于“生物特征识别视频监视:远程多生物特征识别系统”的评论文件

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This paper introduces a long-range multi-biometric system by integrating hierarchical camera system design, human detection and tracking, face detection and pose estimation, NIR laser illumination, and iris acquisition by a PTU and long focal length zoom lens. The system proposed by the paper is sound. Hierarchical design and error-correction steps are introduced in an attempt to make the system robust in real world scenarios. The main concern is two folds: the low resolution of the acquired iris images, and the processing time between frames. Low resolution iris images may lead to significantly decreased accuracy in biometric-based recognition. And the long processing time (due to detection, tracking, etc.) may prevent the system from being applicable to acquiring iris images of moving subjects.
机译:本文通过集成分层相机系统设计,人体检测和跟踪,面部检测和姿势估计,NIR激光照明以及通过PTU和长焦距变焦镜头获取虹膜,介绍了一种远程多生物测量系统。本文提出的系统是完善的。引入了分层设计和纠错步骤,以使系统在实际情况下更强大。主要关注点有两个方面:所获取的虹膜图像的低分辨率,以及帧之间的处理时间。低分辨率虹膜图像可能会导致基于生物特征的识别的准确性大大降低。并且较长的处理时间(由于检测,跟踪等原因)可能会阻止该系统适用于获取运动对象的虹膜图像。

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