Human Identification in a Video Network

Wednesday, October 15, 2014
12:00 PM to 1:00 PM
UTC 3.102
Free and open to the public

Video network is an emerging interdisciplinary field with significant and exciting scientific and technological challenges. It has great promise in solving many real-world problems and enabling a broad range of applications, including smart homes, video surveillance, environment and traffic monitoring, elderly care, intelligent environments, and entertainment in public and private spaces. Starting with the challenges and recent progress in developing wireless video networks and using them for human detection, tracking and recognition at a distance, this talk will present new representations, indexing and matching techniques for individual identification using face, facial expressions, gait, ear and body for robust identification. Many real-world examples and comparisons with the state-of-the-art techniques will be presented.

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Bir Banhu

Bir Bhanu

University of California, Riverside

Dr. Bhanu is a Distinguished Professor of Electrical and Computer Engineering at the University of California at Riverside (UCR). He serves as the Founding Director of the interdisciplinary Center for Research in Intelligent Systems (CRIS) since 1998 and the director of the Visualization and Intelligent Systems Laboratory (VISLab) since 1991. Currently he also serves as the Interim Chair for the department of Bioengineering and the Director of NSF IGERT Program on Video Bioinformatics. He was the founding faculty of Bourns College of Engineering and served as the founding Chair of Electrical Engineering from 1991-94 at UCR. Previously, he was a Senior Honeywell Fellow at Honeywell Inc. He has been on the faculty of the Department of Computer Science at the University of Utah and has worked at Ford Aerospace and Communications Corporation, INRIA-France, and IBM San Jose Research Laboratory. He has been the principal investigator of various programs for the NSF, DARPA, NASA, AFOSR, ONR, ARO, and other agencies and industries in the areas of video networks, video understanding, video bioinformatics, learning and vision, image understanding, pattern recognition, target recognition, biometrics, navigation, image databases, and applications.

Dr. Bhanu has published 10 books, and over 470 reviewed technical publications, including 125 journal papers, in the areas of his interest. He also holds over a dozen patents. Dr. Bhanu has received best conference papers and outstanding journal paper awards and the industrial and university awards for research excellence, outstanding contributions, team efforts and dissertation advisor/mentor. He was Chair of IEEE CVPR, AVSS, WACV, DARPA IUW conferences/workshops. Dr. Bhanu received his education at MIT and USC. He is a fellow of AAAS, IEEE, IAPR, and SPIE.