Audience Tracking and Cheering Content Control in Sports Events

dc.contributor.authorArsan, Taner
dc.contributor.authorDursun, Sefa
dc.contributor.authorKumas, Osman
dc.contributor.authorÇakir, Nagehan
dc.contributor.authorArsan, Taner
dc.date.accessioned2021-01-28T10:14:47Z
dc.date.available2021-01-28T10:14:47Z
dc.date.issued2020
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractSwearing cheers encountered in sports competitions do not comply with sports ethics and morals. Even if this kind of cheering is a group, the entire tribune block is penalized in accordance with the current rules. This method is not preventive and individual punishment should be used. The aim of this study is to determine the individuals who cheer with swearing content. In this study, the person detection is made with the multi-task cascaded convolutional neural network. Moreover, facial landmarks representing the facial regions and the regions related to them are determined as a result of this process. The mouth region is also determined by means of these important points removed, and finally the mouth is determined according to the equation. The face recognition is carried out because the person would be in a state of yelling if the mouth opening ratio exceeds the threshold value by determining the rate of opening. Landmarks extracted from the facial regions for the face recognition are transformed into feature vectors by FaceNet, and the model is created by classifying these vectors with classifiers to use in recognition process. When evaluated in terms of industry, face recognition and detection systems find a wide field of study.en_US
dc.identifier.citation0
dc.identifier.doi10.1109/ISMSIT50672.2020.9255312en_US
dc.identifier.isbn9781728190907
dc.identifier.scopus2-s2.0-85097673659en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3762
dc.identifier.urihttps://doi.org/10.1109/ISMSIT50672.2020.9255312
dc.identifier.wosqualityN/A
dc.institutionauthorArsan, Taneren_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.journal4th International Symposium on Multidisciplinary Studies and Innovative Technologiesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectFace detectionen_US
dc.subjectFace recognitionen_US
dc.subjectMouth aspect ratioen_US
dc.subjectMulti-task cascaded convolutional neural networken_US
dc.titleAudience Tracking and Cheering Content Control in Sports Eventsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication7959ea6c-1b30-4fa0-9c40-6311259c0914
relation.isAuthorOfPublication.latestForDiscovery7959ea6c-1b30-4fa0-9c40-6311259c0914

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