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Automatická analýza přesnosti squashových úderů pomocí jedné kamery
dc.contributor.advisorŠikudová, Elena
dc.creatorVeedla, Walter Herold
dc.date.accessioned2023-03-22T11:01:33Z
dc.date.available2023-03-22T11:01:33Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/20.500.11956/179608
dc.description.abstractSquash is a racket and ball sport with an estimated 20 million players worldwide. Compared to sports like tennis and golf, squash tracking and analysis systems are rela- tively underdeveloped and performance analysis is often done by manual instruction or by pencil-and-paper. While in the recent years more advanced squash specific technology has become available, it requires high-cost specialised hardware and does not capture the location of the bounce of the ball on the floor. This project attempts to tackle this gap of existing squash analysis tools by using computer vision techniques to automate the collection of shot data of a common squash training drill "straight drives", where the ball is being repeatedly hit parallel to a side-wall of the court. An analytics program is developed that can process a video file of a player performing the "straight drives" drill and produce accuracy metrics from the video. The result of this work is a computer program that allows an easy way for the user to get feedback from their training and track their progress. 1en_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Matematicko-fyzikální fakultacs_CZ
dc.subjectimage processing|video|sporten_US
dc.subjectzpracování obrazu|video|sportcs_CZ
dc.titleAutomatic analysis of squash straight drives accuracy from a single camera viewen_US
dc.typebakalářská prácecs_CZ
dcterms.created2023
dcterms.dateAccepted2023-02-07
dc.description.departmentKatedra softwaru a výuky informatikycs_CZ
dc.description.departmentDepartment of Software and Computer Science Educationen_US
dc.description.facultyMatematicko-fyzikální fakultacs_CZ
dc.description.facultyFaculty of Mathematics and Physicsen_US
dc.identifier.repId246081
dc.title.translatedAutomatická analýza přesnosti squashových úderů pomocí jedné kamerycs_CZ
dc.contributor.refereeGoliaš, Matúš
thesis.degree.nameBc.
thesis.degree.levelbakalářskécs_CZ
thesis.degree.disciplineComputer Science with specialisation in Artificial Intelligencecs_CZ
thesis.degree.disciplineComputer Science with specialisation in Artificial Intelligenceen_US
thesis.degree.programComputer Sciencecs_CZ
thesis.degree.programComputer Scienceen_US
uk.thesis.typebakalářská prácecs_CZ
uk.taxonomy.organization-csMatematicko-fyzikální fakulta::Katedra softwaru a výuky informatikycs_CZ
uk.taxonomy.organization-enFaculty of Mathematics and Physics::Department of Software and Computer Science Educationen_US
uk.faculty-name.csMatematicko-fyzikální fakultacs_CZ
uk.faculty-name.enFaculty of Mathematics and Physicsen_US
uk.faculty-abbr.csMFFcs_CZ
uk.degree-discipline.csComputer Science with specialisation in Artificial Intelligencecs_CZ
uk.degree-discipline.enComputer Science with specialisation in Artificial Intelligenceen_US
uk.degree-program.csComputer Sciencecs_CZ
uk.degree-program.enComputer Scienceen_US
thesis.grade.csVýborněcs_CZ
thesis.grade.enExcellenten_US
uk.abstract.enSquash is a racket and ball sport with an estimated 20 million players worldwide. Compared to sports like tennis and golf, squash tracking and analysis systems are rela- tively underdeveloped and performance analysis is often done by manual instruction or by pencil-and-paper. While in the recent years more advanced squash specific technology has become available, it requires high-cost specialised hardware and does not capture the location of the bounce of the ball on the floor. This project attempts to tackle this gap of existing squash analysis tools by using computer vision techniques to automate the collection of shot data of a common squash training drill "straight drives", where the ball is being repeatedly hit parallel to a side-wall of the court. An analytics program is developed that can process a video file of a player performing the "straight drives" drill and produce accuracy metrics from the video. The result of this work is a computer program that allows an easy way for the user to get feedback from their training and track their progress. 1en_US
uk.file-availabilityV
uk.grantorUniverzita Karlova, Matematicko-fyzikální fakulta, Katedra softwaru a výuky informatikycs_CZ
thesis.grade.code1
uk.publication-placePrahacs_CZ
uk.thesis.defenceStatusO


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