The Johns Hopkins University

Whiting School of Engineering

Department of Electrical and Computer Engineering

Intelligent Wireless Vision Sensor Networks: Theory and Applications

Seminar By

Prof. Zhihai (Henry) He

Department of Electrical and Computer Engineering

University of Missouri, Columbia

Abstract:

Vision is the dominant medium through which people receive information. Recent technological advances have enables the development and deployment of large-scale wireless vision sensor networks (WVSN). Coupled with intelligent video processing, WVSNs have been envisioned for many important applications in security monitoring, battlefield intelligence, health monitoring, and environmental tracking.   In this talk, we will first introduce our current research projects to demonstrate the applications of WVSNs in eldercare, battlefield intelligence, and environmental tracking. We will then focus energy minimization of portable video communication systems, one of the most important research issues in WVSN design. We will present our power-rate-distortion approach for energy minimization and discuss related research issues, including energy-scale video encoder design, cross-layer energy minimization and control, etc.

Short Bio:
Zhihai He received the B.S. degree from Beijing Normal University, Beijing, China, and the M.S. degree from Institute of Computational Mathematics, Chinese Academy of Sciences, Beijing, China, in 1994 and 1997 respectively, both in mathematics, and the Ph.D. degree from University of California, Santa Barbara, CA, in 2001, in electrical engineering. In 2001, he joined Sarnoff Corporation, Princeton, NJ, as a Member of Technical Staff. In 2003, he joined the Department of Electrical and Computer Engineering, University of Missouri, Columbia, as an assistant professor.  He received the 2002 IEEE Transactions on Circuits and Systems for Video Technology Best Paper Award and the SPIE VCIP Young Investigator Award in 2004. He serves on the editorial boards of IEEE Transactions on Circuits and Systems for Video Technology and Journal of Visual Communication and Image Representation.

Invited by

Dr. Tran

Tuesday, December 11, 2007

11:00 a.m.

Barton 225

FOR DISABILITY INFORMATION

CONTACT:  Candace Abel (410) 516-7031 cabel@jhu.edu