Research Projects:


Below is a list of research projects I am currently involved with. For a complete list of my research interests and contributions, please visit the Publications page. We gratefully acknowledge support from the National Science Foundation, Office of Naval Research, Army Research Office, DARPA, UC Micro, CISCO, Lockheed Martin and other private companies.

 

 

Dynamic Scene Analysis In An Intelligent Camera Network

 

The goal of this research is to recognize activities over a large geographic area covered by network of video cameras. It consists of the following sub-problems: a) tracking and recognition of complex human activities, including pose variations, changing background and multiple interacting people, b) long-term behavior analysis by integrating information from multiple cameras spatially and temporally, and c) active configuration and control of the network based on feedback from the video analysis modules. More...

 

 

Analytical Models of Image Appearance: From Physics-based Models to Statistical Learning

 

The goal of this project is to develop a theoretical framework for understanding the various factors that affect image formation, e.g., object shape, motion, surface reflectance properties, lighting conditions and camera parameters, and use it for modeling and recognition of rigid and non-rigid objects in video. More...

 

 

ญญญญญญญญญญญญญญญญญญญญญActivity Recognition and Event Search in Video Databases

 

The goal of this project is to retrieve segments from a video database given a video clip of an activity of interest. Not only does this require development of activity recognition algorithms, these algorithms need to be integrated with video search and retrieval methods in large databases. More...

 

 

Video-Based Face Recognition

 

Face recognition continues to be one of the important problems in computer vision. Our goal is to develop video-based face recognition algorithms that are robust to changes of pose and lighting. More …

 

 

Image Analysis for Modeling Cell Growth Dynamics

 

The goal of this project is identification, spatio-temporal modeling and recognition of dynamical patterns inherent in developmental biology through the use of novel computational tools in image analysis, statistical data aggregation, pattern recognition, machine learning and dynamical modeling. This will lead to the development of new methods for addressing some outstanding challenges in this area, i.e., computing cell lineages, identifying long-term patterns in the tracked output and learning functional models of the dynamics of cell growth and division. More coming soon …

 

 

VideoWeb: A Video Network Lab

 

This unique facility will consist of about 80 video cameras, a few infra-red cameras, and a collection of acoustic, seismic and vibration sensors connected through a wireless network in an outdoor environment. This will enable researchers to work on the problems at the intersection of a number of diverse disciplines, like computer vision and image processing, networking, communications, databases, and others. More …

 

 

Imaging/Non-imaging Sensor Lab for Urban Disaster Management

 

This laboratory will consist of a range of sensory devices to enable research on urban disaster management by collecting, integrating and analyzing data from video and other sensors. The integration of these sensors will lead to a more holistic approach to understanding the disaster environment, and provide better decision support systems for emergency personnel. More...

 

 

Multi-terminal Video Compression

 

The goal of this project is to reduce inter-camera redundancy in video coding by exploiting the correlation between the overlapping parts of two or more video sequences, in scenarios where communication between the video sources is minimal or absent. This is achieved through novel integration of 3D geometry and information theoretic results in distributed source coding. More...