利用头部动力学实现人的识别

F. Matta, Sophia Antipolis, F. Matta, J. Dugelay
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引用次数: 3

摘要

本文提出了一种利用视频序列进行身份识别的新方法。虽然大多数图像和视频识别系统使用基于像素的信息来区分身份,但我们的方法利用了头部动力学;特别是少数头部特征的位移信号。由于缺乏标准的视频数据库,使用一小部分视频序列来获得识别和验证分数。然而,这种初步方法的结果是令人鼓舞的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards person recognition using head dynamics
This paper describes a new approach for identity recognition using video sequences. While most image and video recognition systems discriminate identities using pixel-based information, our approach exploits the head dynamics; in particular the displacement signals of few head features. Due to the lack of standard video database, identification and verification scores have been obtained using a small collection of video sequences. The results for this preliminary approach are nevertheless encouraging.
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