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Real-Time Head Pose Estimation in Low-Resolution Football Footage / Realtidsestimering av huvudets vridning i lågupplösta videosekvenser från fotbollsmatcher

<p>This report examines the problem of real-time head pose estimation in low-resolution football footage. A method is presented for inferring the head pose using a combination of footage and knowledge of the locations of the football and players. An ensemble of randomized ferns is compared with a support vector machine for processing the footage, while a support vector machine performs pattern recognition on the location data. Combining the two sources of information outperforms either in isolation. The location of the football turns out to be an important piece of information.</p> / QC 20100707 / Capturing and Visualizing Large scale Human Action (ACTVIS)

Identiferoai:union.ndltd.org:UPSALLA/oai:DiVA.org:kth-12061
Date January 2009
CreatorsLaunila, Andreas
PublisherKTH, Computer Vision and Active Perception, CVAP
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, text
RelationTRITA-CSC-E, ISSN-1653-5715 ; 2009:130

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