Image-based motion stabilization for maritime surveillance

Daniel D. Morris, Brian R. Colonna, and Franklin D. Snyder
Proceedings of SPIE, Image Processing: Algorithms and Systems V, March, 2007.


Download
  • Adobe portable document format (pdf) (1MB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract
Robust image-based motion stabilization is developed to enable visual surveillance in the maritime domain. The algorithm developed is neither a dense registration method nor a traditional feature-based method, but rather it captures the best aspects of each of these approaches. It avoids feature tracking and so can handle large intra-frame motions, and at the same time it is robust to large lighting variations and moving clutter. It is thus well-suited for challenges in the maritime domain. Advantage is taken of the maritime environment including use of the horizon and shoreline, and fused data from an inexpensive inertial measurement unit. Results of real-time operation on an in-water buoy are presented.

Notes
Number of pages: 9

Text Reference
Daniel D. Morris, Brian R. Colonna, and Franklin D. Snyder, "Image-based motion stabilization for maritime surveillance," Proceedings of SPIE, Image Processing: Algorithms and Systems V, March, 2007.

BibTeX Reference
@inproceedings{Morris_2007_6068,
   author = "Daniel D. Morris and Brian R. Colonna and Franklin D. Snyder",
   editor = "Jaakko T. Astola, Karen O. Egiazarian, Edward R. Dougherty",
   title = "Image-based motion stabilization for maritime surveillance",
   booktitle = "Proceedings of SPIE, Image Processing: Algorithms and Systems V",
   month = "March",
   year = "2007",
   volume = "6497",
}