Quarterly Progress Report on Contract N00014-93-1-1235 for February 1994 - April 1994 (Yale University, New Haven, Connecticut),

Abstract

In the area of visual tracking, Greg Hager and his students have demonstrated the ability to perform distraction- and occlusion-resistant tracking of closed contours. The novel features of our approach are: a foveal/peripheral approach to image processing that is used to detect approaching contours, and a discrete-event system which is used to predict the possible appearances of a feature if an approaching contour were to cross it. Tests of the system have shown it to be extremely robust to distractions (objects moving behind the tracked target) and robust to occlusion provided sufficient unoccluded area remains to maintain contact with the contour. We are currently working to improve the performance of the system, and to incorporate these ideas into other systems using feature tracking. In the area of visual servoing, we have for the first time demonstrated full six degree-of-freedom visual servoing using calibration insensitive feedback algorithms. Based on this demonstration we are designing a more ambitious visual servoing system that will support fast and easy reconfiguration for a variety of manipulation tasks.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1994
Accession Number
ADA299377

Entities

People

  • Drew McDermott

Organizations

  • Yale University

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Automata Theory
  • Computations
  • Computer Science
  • Computer Vision
  • Computers
  • Contractors
  • Contracts
  • Image Processing
  • Military Research
  • Students
  • Technical Information Centers
  • Vascular System Injuries
  • Visual Servoing

Readers

  • Computer Vision.
  • Military History of the United States in the 20th Century.
  • Software Engineering