An associate professor of electrical engineering in the Bourns College of Engineering at the University of California, Riverside is applying systems theory, signal processing, machine learning, mathematics and statistics to analyze images and CCTV videos to obtain an understanding of their content.
To aid with his research, associate professor Amit K. Roy-Chowdhury has installed 37 cameras inside and outside the Bourns College of Engineering that feed signals to a control room within the college.
He believes that the research will lead to machine vision technologies that can provide an automated/semi-automated analysis of the 3-D environment from the images and videos that are analogous to the capabilities of biological visual systems.
Recently Roy-Chowdhury published a book that reviewed developments in the field which he penned together with Bi Song, one of his former graduate students. Entitled “Camera Networks: The Acquisition and Analysis of Videos over Wide Areas,” it was published by Morgan & Claypool Publishers.
The book addresses the visual challenges involved in deploying CCTV systems, such as tracking and recognition, illumination and clutter, positioning cameras and processing and scene analysis algorithms.
-- by Dave Wilson, Senior Editor, Vision Systems Design
