"Recognition of Humans and their Activities"

Rama Chellappa
Dept. of Electrical and Computer Engineering and Center for Automation Research
University of Maryland
College Park, Maryland

Time: Friday April 8, 2005 - 10:30 to 11:30 a.m.

Location: Gates Commons (6th floor of the Paul Allen Center)


In this talk, I will discuss our recent work on recognizing humans and their activities using still and video sequences. Specifically, I will present methods for pose and illumination invariant face recogniiton from still images using generalized photometric stereo; simultaneous tracking and recognition of faces in video sequences; gait-based identification of humans and human activity modeling and anomaly detection using factorization theorem and statistical shape models. Challenges due to aging and expressions will also be briefly addressed.


Rama Chellappa received the B.E. (Hons.) degree from the University of Madras, India, in 1975 and the M.E. (Distinction) degree from the Indian Institute of Science, Bangalore, in 1977. He received the M.S.E.E. and Ph.D. Degrees in electrical engineering from Purdue University, West Lafayette, IN, in 1978 and 1981 respectively.

Since 1991, he has been a Professor of electrical engineering and an affiliate Professor of computer science at the University of Maryland, College Park. He is also affiliated with the Center for Automation Research (Director) and the Institute for Advanced Computer Studies (Permanent member). Prior to joining the University of Maryland, he was an Assistant (1981-1986) and Associate Professor (1986-1991) and Director of the Signal and Image Processing Institute (1988-1990) with the University of Southern California, Los Angeles. Over the last 23 years, he has published numerous book chapters, peer-reviewed journal and conference papers. He edited a collection of Papers on Digital Image Processing (published by IEEE Computer Society Press), co-authored a research monograph on Artificial Neural Networks for Computer Vision (With Y.T. Zhou) published by Springer-Verlag, and co-edited a book on Markov Random fields (with A.K. Jain) published by Academic Press. His current research interests are face and gait analysis, 3D modeling from video, automatic target recognition from stationary and moving platforms, surveillance and monitoring, hyper spectral processing, image understanding, and commercial applications of image processing and understanding.

Dr. Chellappa has served as an associate editor of the IEEE Transactions on Signal Processing, Pattern Analysis and Machine Intelligence, Image Processing, and Neural Networks. He was co-Editor-in-Chief of Graphical models and Image Processing. He is now serving as the Editor-in-Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence. He served as a member of the IEEE Signal Processing Society Board of Governors during 1996-1999. Currently he is serving as the Vice President of Awards and Membership for the IEEE Signal Processing Society. He has received several awards, including NSF Presidential Young Investigator Award, an IBM Faculty Development Award, the 1990 Excellence in Teaching Award from the School of Engineering at USC, the 1992 Best Industry Related Paper Award from the International Association of Pattern Recognition (with Q. Zheng), and the 2000 Technical Achievement Award from the IEEE Signal Processing Society. He was elected as a Distinguished Faculty Research Fellow (1996-1998) and as a Distinguished Scholar-Teacher (2003) at the University of Maryland. He is a Fellow of the International Association for Pattern Recognition. He has served as a General the Technical Program Chair for Server IEEE international and national conferences and workshops.