Vision Based Inference From Distributed Cameras

Introduction
Data collection
People
Publications
Current Work
Contact

Introduction

This project is a collaboration with Dr.Shuvra Bhattacharya and Dr.Wayne Wolf .This project develops new techniques for distributed smart camera networks through an integrated exploration of distributed algorithms, embedded architectures, and software synthesis techniques. The objective is to build real time systems for coordinated inference from multiple cameras. Specifically, we are investigating a series of complex smart camera algorithms and applications, specifically, human gesture recognition; self-calibration of the distributed camera network; detection, tracking and fusion of trajectories using distributed cameras; view synthesis using image based visual hulls; gait-based human recognition; and human activity analysis.

Data collection

We are currently in the process of organizing a data collection with our outdoor Philips G3 EnviroDome camera systems. This is a set of 8 cameras around the A V Williams Building.

People

Faculty: Rama Chellappa , Shuvra Bhattacharya , Wayne Wolf

Graduate Students: Ashok Veeraraghavan , Gaurav Aggarwal

Publications

  1. Gaurav Aggarwal, Nalini K. Ratha, Ruud M. Bolle and Rama Chellappa. Cohort Analysis for Biometric Verification and Identification. Under review for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2007.
  2. Pavan Turaga, Ashok Veeraraghavan and Rama Chellappa. Mining Videos for Events using a cascade of dynamical systems: From videos to verbs,  at IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2007. [pdf] [Video] [ppt] [Project Page] NEW
  3. Gaurav Aggarwal, Soma Biswas and Rama Chellappa. Symmetric Shapes are Hardly Ever Ambiguous. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2007. pdf
  4. Soma Biswas, Gaurav Aggarwal, and Rama Chellappa. Efficient Indexing For Articulation Invariant Shape Matching And Retrieval. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2007. pdf
  5. Ashok Veeraraghavan, Amit Roy Chowdhury and Rama Chellappa. Matching Shape Sequences in Video with an application to Human Movement Analysis. Accepted for Publication in IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI). [pdf]
  6. Gaurav Aggarwal, Amit K. Roy Chowdhury, Rama Chellappa. A System Identification Approach for Video-based Face Recognition. In Proceedings of the 17th International Conference on Pattern Recognition(ICPR), 2004. [pdf]
  7. Ashok Veeraraghavan, Amit Roy Chowdhury and Rama Chellappa. Role of Shape and Kinematics in Human Movement Analysis. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2004. [pdf] [ppt]

Current Work

  • Facial Pose Tracking in Videos
  • Comparison of Shape Sequences
  • Simultaneous tracking and Activity analysis from multiple cameras

 

Contact

Email : vashok AT umiacs.umd.edu