University of California, Riverside

Bourns College of Engineering



Amit Roy-Chowdhury


Faculty Profile

Faculty Profile

Amit Roy-Chowdhury

Professor of Electrical Engineering
Amit Roy-Chowdhury

Ph.D. Electrical Engineering
University of Maryland, College Park, 2002

431 Winston Chung Hall
University of California, Riverside
Riverside, CA 92521

Telephone: 951-827-7886
Facsimile: 951-827-2425
E-mail: amitrc@ee.ucr.edu
Personal Webpage

Former Institution: University of Maryland, College Park

Biography

Dr. Roy-Chowdhury leads the Video Computing Group at UCR. His group is involved in research projects related to camera networks, human behavior modeling, face recognition, and bioimage anaysis. Application domains include national and homeland security, commercial multimedia, home infrastructure, computational biology, and digital arts. 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. Prof. Roy-Chowdhury's research has been supported by various agencies including the National Science Foundation, Office of Naval Research, Army Research Office, DARPA, National Endowment for the Humanities, and private industries like CISCO and Lockheed-Martin. His recent book on Camera Networks provides an overview of current research in the field.

Degrees

  • Ph.D. Electrical Engineering 2002 University of Maryland, College Park
  • M.E. Electrical Engineering 1997 Indian Institute of Science, Bangalore, India
  • B.E. Electrical Engineering 1995 Jadavpur University, Calcutta, India

Research Areas

  • Computer Vision and Image Processing
  • Statistical Pattern Recognition
  • Machine Learning
  • Video Communication
  • Imaging/Non-imaging Sensor Networks
  • Biological Image Processing

Selected Publications

  • Camera Networks: The Acquisition and Analysis of Videos Over Wide Areas A. Roy-Chowdhury and B. Song. Morgan and Claypool (Synthesis Lectures in Computer Vision), 2012.
  • Collaborative Sensing In A Distributed PTZ Camera Network C. Ding, B. Song, A. Morye, J. A. Farrell, A. Roy-Chowdhury, IEEE Trans. on Image Processing, 2012.
  • Vector Field Analysis for Multi-Object Behavior Modeling N. Nayak, Y. Zhu, A. Roy-Chowdhury, Image and Vision Computing, 2012.
  • Integrated Sensing and Analysis for Wide Area Scene Understanding B. Song, C. Ding, A. Kamal, J. Farrell, A. Roy-Chowdhury, Signal Processing Magazine, May 2011.
  • A Physics-Based Analysis of Image Appearance Models Y. Xu, A. Roy-Chowdhury, IEEE Trans. on Pattern Analysis and Machine Intelligence, August 2011.
  • A "String of Feature Graphs" Model for Recognition of Complex Activities in Natural Videos U. Gaur, Y. Zhu, B. Song, A. Roy-Chowdhury, IEEE Conf. on Computer Vision, 2011.
  • Cell Resolution 3D Reconstruction of Developing Multilayer Tissues from Sparsely Sampled Volumetric Microscopy Images A. Chakraborty, R. Yadav, G. V. Reddy, A. Roy-Chowdhury, IEEE Intl. Conf. on Bioinformatics and Biomedicine, 2011.
  • Tracking and Activity Recognition Through Consensus in Distributed Camera Networks B. Song, A. Kamal, C. Soto, C. Ding, J. Farrell, A. Roy-Chowdhury, IEEE Trans. on Image Processing, 2010.
  • Automated tracking of stem cell lineages of Arabidopsis shoot apex using local graph matching M. Liu, R. Yadav, A. Roy-Chowdhury, G.V. Reddy, The Plant Journal, 2010.
  • A Stochastic Graph Evolution Framework for Robust Multi-Target Tracking, B. Song, T. Jeng, E. Staudt, A. Roy-Chowdhury, European Confernece on Computer Vision, 2010.
  • Distributed Multi-Target Tracking In A Self-Configuring Camera Network, C. Soto, B. Song, A. Roy-Chowdhury, IEEE Conf. on Computer Vision and Pattern Recognition, 2009.
  • Rate-invariant Recognition of Humans and Their Activities, A. Veeraraghavan, A. Srivastava, A. Roy-Chowdhury, R. Chellappa, IEEE Trans. On Image Processing, June 2009.
  • A Theoretical Analysis of Linear and Multi-linear Models of Image Appearance, Y. Xu, A. Roy-Chowdhury, IEEE Conf. on Computer Vision and Pattern Recognition, June 2008.
  • Learning A Geometry-Integrated Image Appearance Manifold From A Small Training Set, Y. Xu, A. Roy-Chowdhury, IEEE Conf. on Computer Vision and Pattern Recognition, June 2008.
  • Integrating Motion, Illumination and Structure in Video Sequences, With Applications in Illumination-Invariant Tracking, Y. Xu and A. Roy-Chowdhury, IEEE Trans. on Pattern Analysis and Machine Intelligence, May 2007.
  • Towards A Multi-Terminal Video Compression Algorithm Using Epipolar Geometry, B. Song, O. Bursalioglu, E. Tuncel, A. Roy-Chowdhury, IEEE Intl. Conf. on Acoustics, Speech and Signal Processing, 2006. (Best Student Paper Award)
  • Matching Shape Sequences in Video with Applications in Human Motion Analysis, A. Veeraraghavan, A. Roy-Chowdhury, R. Chellappa, IEEE Trans. on Pattern Analysis and Machine Intelligence, pp. 1896-1909, December, 2005.
  • Identification of Humans Using Gait, A. Kale, A.N.Rajagopalan, A.Sundaresan, N.Cuntoor, A. Roy-Chowdhury, V. Krueger, R. Chellappa. IEEE Trans. on Image Processing, Sept. 2004.

More Information 

General Campus Information

University of California, Riverside
900 University Ave.
Riverside, CA 92521
Tel: (951) 827-1012

College Information

Bourns College of Engineering
446 Winston Chung Hall

Tel: (951) 827-5190
Fax: (951) 827-3188
E-mail: collegeinfo@engr.ucr.edu

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