articleNov 27, 2002Closed access

Elliptical head tracking using intensity gradients and color histograms

Stanford University

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Abstract

An algorithm for tracking a person's head is presented. The head's projection onto the image plane is modeled as an ellipse whose position and size are continually updated by a local search combining the output of a module concentrating on the intensity gradient around the ellipse's perimeter with that of another module focusing on the color histogram of the ellipse's interior. Since these two modules have roughly orthogonal failure modes, they serve to complement one another. The result is a robust, real-time system that is able to track a person's head with enough accuracy to automatically control the camera's pan, tilt, and zoom in order to keep the person centered in the field of view at a desired size.…

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Authors

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Topics & keywords

Keywords
  • Ellipse
  • Computer vision
  • Artificial intelligence
  • Robustness (evolution)
  • Computer science
  • Histogram
  • Zoom
  • Tracking (education)
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