loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Youness Tabii ; Mohamed Ould Djibril ; Youssef Hadi and Rachid Oulad Haj Thami

Affiliation: Laboratoire SI2M, Equipe WiM, Morocco

Keyword(s): Video soccer, shot classification, binary image, golden section.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Pattern Recognition ; Software Engineering ; Video Analysis

Abstract: A shot is often used as the basic unit for both video analysis and indexing. In this paper we present a new method for soccer shot classification on the basis of playfield segmentation. First, we detect the dominant color component, by supposing that playfield pixels are green (dominant color). Second, the segmentation process begins by dividing frames into a 3:5:3 format and then classifying them. The experimental results of our method are very promising, and improve the performance of shot detection.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.221.235.209

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Tabii, Y.; Ould Djibril, M.; Hadi, Y. and Oulad Haj Thami, R. (2007). A NEW METHOD FOR VIDEO SOCCER SHOT CLASSIFICATION. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP; ISBN 978-972-8865-73-3; ISSN 2184-4321, SciTePress, pages 221-224. DOI: 10.5220/0002051702210224

@conference{visapp07,
author={Youness Tabii. and Mohamed {Ould Djibril}. and Youssef Hadi. and Rachid {Oulad Haj Thami}.},
title={A NEW METHOD FOR VIDEO SOCCER SHOT CLASSIFICATION},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP},
year={2007},
pages={221-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002051702210224},
isbn={978-972-8865-73-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP
TI - A NEW METHOD FOR VIDEO SOCCER SHOT CLASSIFICATION
SN - 978-972-8865-73-3
IS - 2184-4321
AU - Tabii, Y.
AU - Ould Djibril, M.
AU - Hadi, Y.
AU - Oulad Haj Thami, R.
PY - 2007
SP - 221
EP - 224
DO - 10.5220/0002051702210224
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic