Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates

  • Authors:
  • Paul Fieguth;Demetri Terzopoulos

  • Affiliations:
  • -;-

  • Venue:
  • CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
  • Year:
  • 1997

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Abstract

We develop a simple and very fast method for object tracking based exclusively on color information in digitized video images. Running on a Silicon Graphics R4600 Indy system with an IndyCam, our algorithm is capable of simultaneously tracking objects at full frame size ($640\times480$ pixels) and video frame rate (30 fps). Robustness with respect to occlusion is achieved via an explicit hypothesis-tree model of the occlusion process. We demonstrate the efficacy of our technique in the challenging task of tracking people, especially tracking human heads and hands.