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Analysis of institutional authors

Cuevas CCorresponding AuthorBerjón DAuthorGarcia NAuthor

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September 5, 2022
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Article
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Grass band detection in soccer images for improved image registration

Publicated to: SIGNAL PROCESSING-IMAGE COMMUNICATION. 109 116837- - 2022-11-01 109(), DOI: 10.1016/j.image.2022.116837

Authors:

Cuevas, C; Berjón, D; García, N
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Affiliations

Univ Politecn Madrid UPM, Informat Proc & Telecommun Ctr IPTC, Grp Tratamiento Imagenes GTI, Madrid 28040, Spain - Author
Universidad Politécnica de Madrid - Author

Abstract

The registration of images of soccer matches is a key stage in many computer vision applications. Until now, this task has been typically carried out from key points obtained from the white line marks drawn on the field of play, but in many cases this does not yield enough keypoints for a robust registration. This article proposes a strategy to detect the borders between the grass bands of the field of play and therefore makes it possible to locate many more key points that will allow to carry out a subsequent registration of the images. First, a preprocessing is applied to obtain a grayscale image in which the grass bands are easily distinguishable, and also to obtain a binary mask of the entire field of play that determines the area of interest. Then, a local analysis is carried out to detect most of the borders between grass bands. Finally, a global analysis based on the intersections between lines is applied to group the detected borders and rule out false detections. The strategy has been evaluated on two databases composed of hundreds of annotated images from matches in several stadiums with different characteristics and light conditions. The results obtained have shown that most of the lines delimiting the grass bands are found successfully, while the number of false detections is very small.
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Keywords

footballgrass bandgreenkey pointline detectionline markpatternregistrationsegmentationturfFootballGrass bandGreenKey pointLine detectionLine markPatternRegistrationSegmentationSoccerTrackingTurf

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal SIGNAL PROCESSING-IMAGE COMMUNICATION due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2022, it was in position 112/275, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Engineering, Electrical & Electronic. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Computer Vision and Pattern Recognition.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-26:

  • Google Scholar: 4
  • WoS: 2
  • Scopus: 4
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-26:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 9.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 9 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 3.

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/82239/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 241
  • Downloads: 98
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (CUEVAS RODRIGUEZ, CARLOS) and Last Author (GARCIA SANTOS, NARCISO).

the author responsible for correspondence tasks has been CUEVAS RODRIGUEZ, CARLOS.

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