ML Anthology

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

Paul W. Fieguth, Demetri Terzopoulos
CVPR 1997 pp. 21-27
doi:10.1109/CVPR.1997.609292 /cvpr/1997/fieguth1997cvpr-color/

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/spl times/480 pixels) and video frame rate (30 fps). Robustness with respect to occlusion is achieved via can 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.

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Cite

Text

Fieguth and Terzopoulos. "Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609292

Markdown

[Fieguth and Terzopoulos. "Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/fieguth1997cvpr-color/) doi:10.1109/CVPR.1997.609292

BibTeX

@inproceedings{fieguth1997cvpr-color,
  title     = {{Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates}},
  author    = {Fieguth, Paul W. and Terzopoulos, Demetri},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {21-27},
  doi       = {10.1109/CVPR.1997.609292},
  url       = {https://mlanthology.org/cvpr/1997/fieguth1997cvpr-color/}
}