JPL Robotics: People: Michael Ryoo

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Member of:
347H
Computer Vision Group

Michael Ryoo
Member of Technical Staff
(Full description>>)

Biography (more>>)

Michael S. Ryoo is a researcher in the Computer Vision for Surface Applications group at JPL. His research focuses on automated understanding of motion, events, and activities from videos. He has authored various papers on human activity recognition, and has been contributing to the field by publishing a survey paper, providing tutorials at major conferences, and organizing workshops.

Education (more>>)

Ph.D. in Computer Engineering, 2008, the University of Texas at Austin
M.S. in Computer Engineering, 2006, the University of Texas at Austin
B.S. in Computer Science, 2004, Korea Advanced Institute of Science and Technology (KAIST)

Professional Experience (more>>)

Computer Vision for Surface Applications Group, Jet Propulsion Laboratory, Pasadena, CA, 2011-present
Robot Research Department, Electronics and Telecommunications Research Institute, South Korea, 2008-2011

Research Interests (more>>)

Human activity recognition
Semantic video analysis
Human-robot interaction

Selected Publications (more>>)

M. S. Ryoo, "Human Activity Prediction: Early Recognition of Ongoing Activities from Streaming Videos," International Conference on Computer Vision (ICCV), Barcelona, Spain, November 2011.

M. S. Ryoo and J. K Aggarwal, "Spatio-Temporal Relationship Match: Video Structure Comparison for Recognition of Complex Human Activities," International Conference on Computer Vision (ICCV), Kyoto, Japan, October 2009.

M. S. Ryoo and J. K Aggarwal, "Semantic Representation and Recognition of Continued and Recursive Human Activities," International Journal of Computer Vision (IJCV), April 2009, 82(1):1-24.

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