12月19日（周四）上午9:00台湾科技大学苏顺丰教授学术报告
-- Detecting small signals in videos and its applications
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
报告题目：Detecting small signals in videos and its applications
报 告 人：苏顺丰 博士
单 位：台湾科技大学
时 间：2019年12月19日周四上午9:00
地 点：js33333金沙线路检测教育部重点实验室会议室（四牌楼校区）
邀请人/主持人：魏海坤 教授
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
欢迎各位老师和研究生参加！
报告摘要：
Intelligent systems become so popular recently. An important characteristic for intelligent systems is that the system must be able to know its surrounding situations for actions/decisions. To sense the environment, the best way is through vision. It can be found nowadays that so many applications use images/videos in intelligent systems.For those human can detect (visible changes on image), we may try to find ways of detecting/recognizing them. Usually, we may go for feature-based recognition or recognition without definition. However, it is well known that there is conflict between intelligence and accuracy. How about the information that cannot directly observed by human? Maybe, those images/videos have already captured them. A video processing system can be used to identify those short-term visual changes (within frames). If those changes are considered as noise, a technique referred to as image de-noising (the process of removing sensor noise added during image capture) can be designed. On the other hand, one may want to magnify motions and changes that are too subtle to be seen by naked eyes. If possible, we may monitor some biomedical signals from videos, like breath motion or heartbeat.This talk will introduce those ideas used for detecting small signals from videos and possible applications for these techniques.
报告人简介：
He is now a Chair Professor of the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taiwan, R.O.C. He is an IEEE Fellow, IFSA fellow, CACS fellow and RST fellow. He has published more than 300 refereed journal and conference papers in the areas of robotics, intelligent control, fuzzy systems, neural networks, and non-derivative optimization. His current research interests include computational intelligence, machine learning, virtual reality, intelligent transportation systems, smart home, robotics, and intelligent control.
Dr. Su is very active in various international/domestic professional societies. He now is the IEEE SMC society Distinguished Lecturer Program chair. He also serves as a board member of various academic societies. Dr. Su also acted as General Chair, Program Chair, or various positions for many international and domestic conferences. Dr. Su currently serves as Associate editors of IEEE Transactions on Cybernetics, IEEE/CAA Journal Automatica Sinca and IEEE Access, a subject editor (Electrical Engineering) of the Journal of the Chinese Institute of Engineers, and the Editor-in-Chief of International Journal of Fuzzy Systems.
