Recognizing Objects and Actions
in Images and Video
Professor Jitendra Malik
Arthur J. Chick Professor of EECS
UC Berkeley
Date: Friday, April 13,
2007
Place: Buchanan
1930
Time: 2:00 pm — 3:00 pm
Abstract:
The object recognition problem is that of finding instances of object classes in an image or video sequence: faces, giraffes, the digit 5, chairs etc. This has to be accomplished while allowing for intra-class variation, as well as changes in illumination and viewpoint. We have developed a theory of object recognition by measuring shape similarity, using point correspondences based on robust relational descriptors: ``shape contexts’’ and "geometric blur templates". I will show results on a variety of 2D and 3D recognition problems. The action recognition problem is that of finding instances of actions in video sequences: run, jump, kick etc. This has to be accomplished while allowing for variation in the person performing the action, clothing, illumination and viewpoint. This talk is based on joint work; please visit http://http.cs.berkeley.edu/projects/vision/vision_group.html for pointers to publications.
JITENDRA MALIK was born in Mathura, India in 1960. He received the B.Tech degree in Electrical Engineering from Indian Institute of Technology, Kanpur in 1980 and the PhD degree in Computer Science from Stanford University in 1985. In January 1986, he joined the university of California at Berkeley, where he is currently the Arthur J. Chick Professor in the Computer Science Division, Department of Electrical Engg and Computer Sciences. He is also on the faculty of the Cognitive Science and Vision Science groups. During 2002-2004 he served as the Chair of the Computer Science Division and during 2004-2006 as the Department Chair of EECS.
His research interests are in computer vision and computational modeling of human vision. His work spans a range of topics in vision including image segmentation and grouping, texture, stereopsis, object recognition, image based modeling and rendering, content based image querying, and intelligent vehicle highway systems. He has authored or co-authored more than a hundred and thirty research papers on these topics.
He received the gold medal for the best graduating student in Electrical Engineering from IIT Kanpur in 1980, a Presidential Young Investigator Award in 1989, and the Rosenbaum fellowship for the Computer Vision Programme at the Newton Institute of Mathematical Sciences, University of Cambridge in 1993. He received the Diane S. McEntyre Award for Excellence in Teaching from the Computer Science Division, University of California at Berkeley, in 2000. He was awarded a Miller Research Professorship in 2001. He is a fellow of the IEEE.
Host: B.S. Manjunath, Professor of ECE
