Tracking Persons in Ultra-HD Panoramic Video

  • Marcus Thaler
  • Rene Kaiser
  • Werner Bailer
  • Andreas Kriechbaum
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7131)

Abstract

We present a demo for person detection and tracking in high-resolution panoramic video streams, obtained from a panoramic camera stitching video streams from 6 HD resolution tiles. The AV content analysis uses a CUDA accelerated feature point tracker, a blob detector and a CUDA HOG person detector, which are used for region tracking in each of the tiles. The results of each tile are then fused for the entire panorama to track persons over multiple tiles.

Keywords

Feature Point Tracking Algorithm Person Region Blob Detector Person Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Fassold, H., Rosner, J., Schallauer, P., Bailer, W.: Realtime KLT Feature Point Tracking for High Definition Video. In: Skala, V., Hildebrand, D. (eds.) GraVisMa 2009 - Computer Graphics, Vision and Mathematics for Scientific Computing (2010)Google Scholar
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    Kaiser, R., Thaler, M., Kriechbaum, A., Fassold, H., Bailer, W., Rosner, J.: Real-time person tracking in high-resolution panoramic video for automated broadcast production. In: Proceedings of CVMP 2011 (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Marcus Thaler
    • 1
  • Rene Kaiser
    • 1
  • Werner Bailer
    • 1
  • Andreas Kriechbaum
    • 1
  1. 1.Institute for Information and Communication TechnologiesJoanneum ResearchGrazAustria

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