The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

We present the formulation and implementation of an image stabilization system capable of stabilizing video with very large displacements between frames. A coarse-to-fine technique is applied in resolution and in model spaces. The registration algorithm uses phase correlation to obtain an initial estimate for translation between images; then Levenberg-Marquardt method for non-linear optimization is applied to refine the solution. Registration is performed in color space, using a subset of the pixels selected by a gradient-based subsampling criteria.

The algorithm was applied to feature tracking and to generate stable overlays on video sequences. Several techniques of motion compensation are presented. The current implementation has been tested with several video sequences. This software implementation runs at 5Hz on non-dedicated hardware (Silicon Graphics R10000 workstation).

Notes

Grant ID: N00014-95-1-0591, IRI-9224521

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Number of pages: 29

Text Reference

Carlos Guestrin, Fabio Cozman, and Eric Krotkov, "Image Stabilization for Feature Tracking and Generation of Stable Video Overlays," tech. report CMU-RI-TR-97-42, Robotics Institute, Carnegie Mellon University, November, 1997

BibTeX Reference

@techreport{Cozman_1997_459,
   author = "Carlos Guestrin and Fabio Cozman and Eric Krotkov",
   title = "Image Stabilization for Feature Tracking and Generation of Stable Video Overlays",
   booktitle = "",
   institution = "Robotics Institute",
   month = "November",
   year = "1997",
   number= "CMU-RI-TR-97-42",
   address= "Pittsburgh, PA",
}

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