전기및전자과 유창동교수님 연구실에서 NASA's Jet Propulsion Laboratory 의 유상원 박사님을 모시고 아래와 같이 세미나를 개최하오니 많은 관심과 참여 부탁드립니다.
Date: 2012.9.24 14:00
Venue: Wooribyul Seminar room. Dept. of EE(E3-2)
Speaker: Dr. Michael S. Ryoo / NASA's Jet Propulsion Laboratory
Title: Activity Recognition for Real-world Scenarios
Human activity recognition, an automated detection of ongoing events from video data, is an important research area obtaining an increasing amount of public interest. Its applications include surveillance systems, content-based web-video search, and a variety of systems that involve interactions between humans and machines such as robots and autonomous vehicles. In this talk, we particularly focus on an important activity recognition problem crucial for real-world systems: human activity prediction. The objective of activity 'prediction' is to identify an ongoing activity in its early stage (i.e., before it is fully progressed) from streaming videos, which is essential to prevent dangerous activities and accidents from happening. We introduce the prediction problem, present the prediction methodologies using spatio-temporal features, and discuss their applications.
Michael S. Ryoo is a research staff of NASA's Jet Propulsion Laboratory, California Institute of Technology. His research interests include semantic recognition of human activities, interactions between humans and intelligent mobile platforms (vehicles/robots), and smart context-aware environments. Dr. Ryoo received the B.S. degree in computer science from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2004, and the M.S. and Ph.D. degrees in computer engineering from the University of Texas at Austin, in 2006 and 2008, respectively. He was the lead organizer of the first ICPR contest on human activity recognition, SDHA 2010. He also has been providing tutorials on human activity recognition at major Computer Vision/AI conferences including CVPR 2011 and AVSS 2012, has authored a number of conference and journal papers, and is the corresponding author of the activity recognition survey paper published by ACM Computing Surveys in 2011.