基于动力和判别学习的行为识别

2013 International Workshop on Biometrics and Forensics (IWBF) Pub Date : 2013-04-04 DOI:10.1109/IWBF.2013.6547320

Alexandros Iosifidis, A. Tefas, I. Pitas

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引用次数: 7

摘要

本文提出了一种基于运动信息的视觉无关的人物识别方法。为了在动作执行过程中从不同的视角捕捉人体，使用了多摄像头设置。该方法能够将几个日常行为纳入个人识别。通过对不同动作对人的识别能力的比较研究，表明除了走路之外，还有几种动作可以用于人的识别。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Person identification from actions based on dynemes and discriminant learning

In this paper we present a view-independent person identification method exploiting motion information. A multi-camera setup is used in order to capture the human body during action execution from different viewing angles. The method is able to incorporate several everyday actions in person identification. A comparative study of the discriminative ability of different actions for person identification is provided, denoting that several actions, except walk, can be exploited for person identification.

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2013 International Workshop on Biometrics and Forensics (IWBF)

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