全校師生：
我校定于2017年6月21日舉辦研究生靈犀學(xué)術(shù)殿堂——Guoying Zhao報(bào)告會(huì)，現(xiàn)將有關(guān)事項(xiàng)通知如下：
1.報(bào)告會(huì)簡(jiǎn)介
報(bào)告人：Guoying Zhao 教授
時(shí) 間：2017年6月21日（星期三）下午14：30
地 點(diǎn)：長(zhǎng)安校區(qū) 電子信息學(xué)院119會(huì)議室
主 題：Remote heart beat measurement and applications
內(nèi)容簡(jiǎn)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.歡迎各學(xué)院師生前來(lái)聽(tīng)報(bào)告。報(bào)告會(huì)期間請(qǐng)關(guān)閉手機(jī)或?qū)⑹謾C(jī)調(diào)至靜音模式。
黨委研究生工作部
電子信息學(xué)院
2017年6月19日
報(bào)告人簡(jiǎn)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.
