Contextual Features for Head Pose Estimation in Football Games

Author

Launila, Andreas ; Sullivan, Josephine

Author_Institution

Sch. of Comput. Sci. & Commun., R. Institute of Technol., Stockholm, Sweden

fYear

2010

fDate

23-26 Aug. 2010

Firstpage

340

Lastpage

343

Abstract

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.

Keywords

feature extraction; image resolution; pose estimation; sport; contextual features; football games; head pose estimation; image based features; low-resolution footage; Estimation; Games; Head; Magnetic heads; Mutual information; Support vector machines; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ICPR), 2010 20th International Conference on

Conference_Location

Istanbul

ISSN

1051-4651

Print_ISBN

978-1-4244-7542-1

Type

conf

DOI

10.1109/ICPR.2010.92

Filename

5597801

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2514878