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CAR: Computerized Assistant Referee for Determining the Offside Rule in Soccer by Using Computer Vision

  • Jaime Moreno
  • Joshua Romero
  • Oswaldo Morales
  • Ricardo Tejeida
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 869)

Abstract

In this document, we present a methodology in order to create an assistant for determining the offside using computer vision from processes of segmentation and object detection from captured using a webcam pictures which was within a space of controlled lighting. Thus, obtaining an image of the field in which the elements that are in it, and the distances they occupy within the image to thereby obtain the existence of offside is determined. For this approach, possibility is to know the theoretical elements necessary to determine the offside-rule in soccer, as well as the principles of computer vision necessary to perform image capture, segmentation and object detection as well as the tools necessary for its implementation.

Keywords

Computer vision Histogram of oriented gradient Segmentation Object detection Image capture 

Notes

Acknowledgment

This work is supported by the Secretary of Research and Postgraduate Studies (Secretaría de Investigación y Posgrado) of National Polytechnic Institute of Mexico (Instituto Politécnico Nacional, México) by means of Project SIP-20180514. Also, this work is supported by the Commission of Operation and Promotion of Academic Activities (COFAA, Comisión de Operación y Fomento de Actividades Académicas del IPN) and National Council of Science and Technology of Mexico (CONACyT, Consejo Nacional de Ciencia y Tecnología de México) by means of National Research System (Sistema Nacional de Investigadores) grants No. 56739 (Dr. Moreno), 32772 (Dr. Morales), and 335839 (Dr. Tejeida). Furthermore, this article is part of the degree’s thesis of the BEIFI grant holder Joshua Romero Tapia, directed by the Ph.D. Jess Jaime Moreno Escobar. We also thank Eng. Isabel Meraz for her logistical and technical support; as well as to the reviewers who applied their worthy knowledge in order to improve this paper.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jaime Moreno
    • 1
  • Joshua Romero
    • 1
  • Oswaldo Morales
    • 1
  • Ricardo Tejeida
    • 2
  1. 1.Escuela Superior de Ingeniería Mecánica y EléctricaInstituto Politécnico NacionalMexicoMexico
  2. 2.Escuela Superior de TurismoInstituto Politécnico NacionalMexicoMexico

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