Speaker: Dr. Jim Rehg, Georgia Tech
Title: Behavior Imaging and the Study of Autism
In this talk I will describe current research efforts in Behavior Imaging, a new research field which encompasses the measurement, modeling, analysis, and visualization of social and communicative behaviors from multi-modal sensor data. Beginning in infancy, individuals acquire the social and communicative skills which are vital for a healthy and productive life, through face-to-face interactions with caregivers and peers. However, children with developmental delays face great challenges in acquiring these skills, resulting in substantial lifetime risks. Autism, for example, affects 1 in 110 children in the U.S. and can lead to substantial impairments, resulting in a lifetime cost of care of $3.2M per person. The goal of our research in Behavior Imaging is to develop computational methods that can support the fine-grained and large-scale measurement and analysis of social behaviors, with the potential to positively impact diagnosis and treatment. I will present an overview of our research efforts in Behavior Imaging, with a particular emphasis on the use of computer vision techniques. Specifically, I will describe a new approach to video analysis based on the concept of temporal causality, which leverages a novel representation of video events as multiple point processes. Our method provides a new bottom-up approach to video segmentation based on the temporal structure of video events. I will present results for retrieving and categorizing social interactions in collections of real-world video footage. I will also highlight our recent efforts in the semi-supervised recognition of objects and activities from egocentric video.
This is joint work with Karthir Prabhakar, Alireza Fathi, and Sangmin Oh
James M. Rehg (pronounced "ray") is a Professor in the School of Interactive Computing at the Georgia Institute of Technology, where he is the Director of the Center for Behavior Imaging, co-Director of the Computational Perception Lab, and Associate Director of Research in the Center for Robotics and Intelligent Machines. He received his Ph.D. from CMU in 1995 and worked at the Cambridge Research Lab of DEC (and then Compaq) from 1995-2001, where he managed the computer vision research group. He received the National Science Foundation (NSF) CAREER award in 2001, and the Raytheon Faculty Fellowship from Georgia Tech in 2005. He and his students have received a number of best paper awards, including best student paper awards at ICML 2005 and BMVC 2010. Dr. Rehg is active in the organizing committees of the major conferences in computer vision, most-recently serving as the General co-Chair for IEEE CVPR 2009. He has served on the Editorial Board of the International Journal of Computer Vision since 2004. He has authored more than 100 peer-reviewed scientific papers and holds 23 issued US patents. Dr. Rehg is currently leading a multi-institution effort to develop the science and technology of Behavior Imaging, funded by an NSF Expedition award (see www.cbs.gatech.edu for details).