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Contextual Features for Head Pose Estimation in Football Games
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2010 (English)In: 20th International Conference on Pattern Recognition, ICPR 2010, IEEE conference proceedings, 2010, 340-343 p.Conference paper, Published paper (Refereed)
Abstract [en]

We explore the benefits of using contextual features for head pose estimation in football games. Contextual features are derived from knowledge of the position of all players and combined with image based features derived from low-resolution footage. Using feature selection and combination techniques, we show that contextual features can aid head pose estimation in football games and potentially be an important complement to the image based features traditionally used.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2010. 340-343 p.
Keyword [en]
computer vision, head pose estimation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-51104Scopus ID: 2-s2.0-78149473653ISBN: 978-1-4244-7542-1 (print)OAI: oai:DiVA.org:kth-51104DiVA: diva2:463431
Conference
2010 20th International Conference on Pattern Recognition, ICPR 2010. Istanbul. 23 August 2010 - 26 August 2010
Note
QC 20111212Available from: 2011-12-09 Created: 2011-12-09 Last updated: 2011-12-12Bibliographically approved

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  • apa
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Output format
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