CMU ECE talk:From Single Images To Camera Networks: Modeling and Inference Strategies

From Single Images To Camera Networks: Modeling and Inference Strategies

Amit Roy-Chowdhury
UC Riverside
Sep 19 2008

Abstract:
The complexity of vision systems can be represented along many parameters, one of them being the amount of data that is processed. On one end of this spectrum is a single image, while on the other end is a large camera network. In this talk, I will focus on these two ends of the spectrum, analyze their unique requirements and inter-relationships. In the first part, we will discuss mathematical models of image appearance. In my research, I have tried to address the question on how valid are some of the commonly used models, like linear, bilinear, multilinear, locally linear. Given the physical laws of object motion, surface properties and image formation, can we derive some of these models from first principles? We will see that, under certain mathematical assumptions, we can indeed derive some of these models and that this analysis provides new insights into problems of tracking and recognition. In the second part of the talk, I will discuss our current work on scene analysis in camera networks. I will first describe a multi-objective optimization framework that is able to hold tracks of multiple targets over space and time by adapting between delay and accuracy requirements. Then, I will describe our recent work on cooperative control of a camera network using game theory. The importance of a good understanding of the properties of single images in analyzing data over a camera network will be highlighted.

Bio:
Amit K. Roy-Chowdhury is an Assistant Professor of Electrical Engineering and a Cooperating Faculty in the Dept. of Computer Science at the University of California, Riverside. He completed his PhD in 2002 from the University of Maryland, College Park, where he also worked as a Research Associate in 2003. Previous to that, he received his Masters in Systems Science and Automation from the Indian Institute of Science, Bangalore. His research interests are in the broad areas of image processing and analysis, computer vision, video communications and statistical methods for signal processing, pattern recognition and machine learning. His current research projects include network-centric scene analysis in camera networks, physics-based mathematical modeling of image appearance, activity modeling and recognition, face and gait recognition, biological video analysis and distributed video compression. Dr. Roy-Chowdhury has over seventy papers in peer-reviewed journals, conferences and edited books. He is an author of the book titled "Recognition of Humans and Their Activities Using Video". He is an Associate Editor of the IAPR journal Machine Vision and Applications and is regular reviewer of the major journals and conference proceedings in his area.