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识别人体运动。

Recognizing People in Motion.

机构信息

School of Psychological Sciences, Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.

School of Behavioral and Brain Science, University of Texas at Dallas, Dallas, TX, USA.

出版信息

Trends Cogn Sci. 2016 May;20(5):383-395. doi: 10.1016/j.tics.2016.02.005. Epub 2016 Mar 24.

DOI:10.1016/j.tics.2016.02.005
PMID:27016844
Abstract

Natural movements of the face and body, as well as voice, provide converging cues to a person's identity. To date, person recognition has been studied primarily with static images of faces. Face recognition, however, is part of a larger system, whose preeminent goal is to efficiently recognize dynamic familiar people in unconstrained environments. We present a comprehensive framework for understanding person recognition as it happens in the real world. In this framework, dynamic information plays the central role in binding multi-modal information from the face, body, and the voice to achieve robust and highly accurate recognition. The superior temporal sulcus (STS) integrates multisensory, dynamic information from the whole person for recognition, thereby complementing its role in social cognition.

摘要

面部和身体的自然运动,以及声音,为一个人的身份提供了多种线索。迄今为止,人的身份识别主要是通过静态的面部图像进行研究的。然而,人脸识别是一个更大系统的一部分,其首要目标是在不受约束的环境中高效识别动态熟悉的人。我们提出了一个全面的框架来理解现实世界中发生的人的身份识别。在这个框架中,动态信息在绑定来自面部、身体和声音的多模态信息方面起着核心作用,从而实现强大和高度准确的识别。上颞叶沟(STS)整合来自整个人的多感觉、动态信息以进行识别,从而补充了其在社会认知中的作用。

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