全校师生：

我校定于2017年6月21日举办研究生灵犀学术殿堂——Guoying Zhao报告会，现将有关事项通知如下：

1.报告会简介

报告人：Guoying Zhao 教授

时 间：2017年6月21日（星期三）下午14：30

地 点：长安校区 电子信息学院119会议室

主 题：Remote heart beat measurement and applications

内容简介：Physiological signals like heart rate (HR), are important vital signs for medical diagnostics and daily health monitoring.As well, they are also very important indicators of people’s psychological status as they can be affected by feeling, emotion and stress.Remote non-intrusive physiological signal measurement is an attractive topic for both commercial and academic purposes.This talk introduces the related work regarding measuring average heart beat from face videos captured by cameras remotely, especially a framework working under realistic situations proposed by speaker’s team.Using pulse estimation to face anti-spoofing are then presented as an application case.

2.欢迎各学院师生前来听报告。报告会期间请关闭手机或将手机调至静音模式。

党委研究生工作部

电子信息学院

2017年6月19日

报告人简介

Guoying Zhao (IEEE senior member) received the Ph.D. degree in computer science from the Chinese Academy of Sciences, Beijing, China, in 2005. She is currently an Associate Professor with the Center for Machine Vision and Signal Analysis, University of Oulu, Finland, where she has been a senior researcher since 2005. In 2011, she was selected to the highly competitive Academy Research Fellow position. She has authored or co-authored more than 160 papers in journals and conferences.Her papers have currently over 5900 citations in Google Scholar (h-index 33). She has served as associate editor for Pattern Recognition and Image and Vision Computing Journals. She has lectured tutorials at ICPR 2006, ICCV 2009, and SCIA 2013, authored/edited three books and six special issues in journals. Dr. Zhao was a Co-Chair of 12 International Workshops at ECCV, ICCV, CVPR and ACCV. Her current research interests include image and video descriptors, facial-expression and micro-expression recognition, gait analysis, dynamic-texture recognition, human motion analysis, and person identification. Her research has been reported by Finnish TV programs, newspapers and MIT Technology Review.