Real-time multi-target tracking at 210 megapixels/second in Wide Area Motion Imagery

@article{Basharat2014RealtimeMT,
  title={Real-time multi-target tracking at 210 megapixels/second in Wide Area Motion Imagery},
  author={Arslan Basharat and Matthew W. Turek and Yiliang Xu and Chuck Atkins and David Stoup and Keith Fieldhouse and Paul Tunison and Anthony Hoogs},
  journal={IEEE Winter Conference on Applications of Computer Vision},
  year={2014},
  pages={839-846}
}
We present a real-time, full-frame, multi-target Wide Area Motion Imagery (WAMI) tracking system that utilizes distributed processing to handle high data rates while maintaining high track quality. The proposed architecture processes the WAMI data as a series of geospatial tiles and implements both process- and thread-level parallelism across multiple compute nodes. Each tile is processed independently, from decoding the image through generating tracks that are finally merged across all tiles… CONTINUE READING
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