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Tracking Persons in Ultra-HD Panoramic Video

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Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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References

  1. Schäfer, R., Kauff, P., Weissig, C.: Ultra high resolution video production and display as basis of a format agnostic production system. In: Proceedings of International Broadcast Conference, IBC 2010 (2010)

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  2. Prisacariu, V., Reid, I.: FastHOG - a real-time GPU implementation of HOG. Technical report, Department of Engineering Science, Oxford University (2009)

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  3. 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)

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  4. 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)

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© 2012 Springer-Verlag Berlin Heidelberg

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Thaler, M., Kaiser, R., Bailer, W., Kriechbaum, A. (2012). Tracking Persons in Ultra-HD Panoramic Video. In: Schoeffmann, K., Merialdo, B., Hauptmann, A.G., Ngo, CW., Andreopoulos, Y., Breiteneder, C. (eds) Advances in Multimedia Modeling. MMM 2012. Lecture Notes in Computer Science, vol 7131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27355-1_61

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  • DOI: https://doi.org/10.1007/978-3-642-27355-1_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27354-4

  • Online ISBN: 978-3-642-27355-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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