AMIT K. ROY-CHOWDHURY
Associate Professor
431 WCH
Department of Electrical Engineering,
University of California, Riverside, CA 92521

Affiliations:

Phone: 951-827-7886
Fax: 951-827-2425
Email


Short Bio

Dr. Roy-Chowdhury leads the Video Computing Group at UCR. His group is studying problems in video analysis with applications in national and homeland security, commercial multimedia and computational biology. The underlying approach of his research is to harness various methods in systems theory, signal processing, machine learning, mathematics and statistics to the analysis of images and videos in order to obtain an understanding of their content. This scientific understanding can lead to machine vision technologies that can provide an automated/semi-automated analysis of the 3D environment from images/videos, analogous to the capabilities of biological visual systems. Currently, the group is focused on multi-agent autonomous camera networks, modeling and recognition of complex behaviors in video, and image-based modeling of biological gowth dynamics (specifically in plants). Prof. Roy-Chowdhury is a PI on several grants from the National Science Foundation, Office of Naval Research, Army Research Office, DARPA, and private industries like CISCO and Lockheed-Martin. He has served as a program committe member and reviewer in various capacities, organized workshops and special sessions, is an Associate Editor of the journal Machine Vision Applications, and a Section Editor of Elsevier’s Electronic Reference on Signal Processing. He has recently co-edited a book on the topic of "Distributed Video Sensor Networks". For more details, please see his CV.


Current Research Projects

  • Camera Networks
  • Wide Area Scene Analysis
  • Human activity search and analysis
  • Biometrics, especially face and soft biometrics
  • Theoretical methods - integration of physics-based models with statistical inference
  • Biological Image Processing - cell tracking, database search
  • Distributed Video Communication