Audience Shot Detection for Automatic Analysis of Soccer Sports Videos

Kazimierz ChoroÅ›

Abstract

The automatic categorization is all the time a great challenge of content-based indexing of sports videos. The great part of different video archives, portals, Web databases contains a huge amount of sports videos data. One of the most significant processes of sports news videos analysis is automatic recognition of a sports discipline reported in a video. Different strategies are applied: pattern frame comparison, line detection in playing fields, player detection, sports equipment detection, or detection of superimposed text, and others. Usually audience shots are processed like other non-player shots, considered as not useful for video content analysis. This paper presents an approach of automatic detection of audience shots which are however useful for automatic categorization of sports videos. The audience shots in sports videos can be considered as very informative parts helping to detect and recognize not only sports disciplines, but also nationality or club membership, as well as emotions of supporters. The method is based on the integration of the analysis of segment color histograms of video frames, detection of shots, and face detection. Color histograms are applied to detect audience frames and shots. Because the dominant color as a unique criterion is not efficient in audience detection this procedure has been improved by analyzing not only single frames but sequences of frames belonging to one shot. Then a face detection method has been introduced to find the most suitable audience shots for content analysis of sports videos. The tests have been performed on soccer sports videos.

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Paper Citation


in Harvard Style

ChoroÅ› K. (2021). Audience Shot Detection for Automatic Analysis of Soccer Sports Videos.In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-488-6, pages 688-695. DOI: 10.5220/0010404806880695


in Bibtex Style

@conference{visapp21,
author={Kazimierz ChoroÅ›},
title={Audience Shot Detection for Automatic Analysis of Soccer Sports Videos},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2021},
pages={688-695},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010404806880695},
isbn={978-989-758-488-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Audience Shot Detection for Automatic Analysis of Soccer Sports Videos
SN - 978-989-758-488-6
AU - ChoroÅ› K.
PY - 2021
SP - 688
EP - 695
DO - 10.5220/0010404806880695