Foveate Wavelet Transform for Camera Motion Recovery from Videos

  • Authors:
  • Affiliations:
  • Venue:
  • ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
  • Year:
  • 1998

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Abstract

In this paper, a new variable resolution technique - Foveate Wavelet Transform (FWT) is proposed to represent video frames in order to reduce the bandwidth/storage requirement through emulating the animate visual systems. As its application, an FWT-based method purporting to recover camera motions from video clips is developed. With this method, the motion vectors are first estimated for the FWT representation of each frame using a foveate two-pass algorithm. The camera motions, namely, pan, tilt, zoom, and a mixture of them, are then recovered based on the behaviors of the dense motion fields. Encouraging experimental results have been witnessed.