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Zasnova večkamernega sistema za priznavanje zadetka
ID JUVANČIČ, JURE (Author), ID Skočaj, Danijel (Mentor) More about this mentor... This link opens in a new window

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PID: 20.500.12556/rul/d3d4802c-6d72-4019-9655-0f6bf71f2e21

Abstract
Pri nogometu prihaja do različnih situacij, v katerih sodniki brez dodatne pomoči težko pravilno razsodijo. V ta namen se čedalje pogosteje uporabljajo različne tehnologije. V diplomski nalogi z uporabo spletnih kamer implementiramo zasnovo večkamernega sistema za priznavanje zadetka. V laboratoriju pri kontroliranih okoliščinah postavimo sistem s kamerami, ki jih s kalibracijo umestimo v skupen koordinatni sistem. Nato vhodne slike z modeliranjem ozadja segmentiramo in poiščemo središče objekta, ki je v našem primeru rumena žoga. S triangulacijo določimo položaj žoge in golove črte v svetovnem koordinatnem sistemu, vse skupaj izrišemo v 3D prostoru in ocenimo, ali je žoga prešla golovo črto ali ne. Ocenimo tudi natančnost delovanja sistema in napake, ki se pri tem pojavijo. Končna povprečna napaka pri ugotavljanju zadetka je manjša od 1,5 mm, kar je za sistem z neprofesionalnimi kamerami spodbudno.

Language:Slovenian
Keywords:segmentacija, modeliranje ozadja, večkamerni sistem, kalibracija kamer, triangulacija, iskanje središča
Work type:Bachelor thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2018
PID:20.500.12556/RUL-99920 This link opens in a new window
Publication date in RUL:22.02.2018
Views:800
Downloads:395
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Secondary language

Language:English
Title:Design of multi-camera goal detection system
Abstract:
In football, various situations arise in which referees have difficulty making correct judgements without additional assistance. To that end, various technologies are being employed with increasing frequency. The thesis presents the implementation of a design of a multi-camera goal detection system using online cameras. We set up a system in controlled laboratory circumstances using cameras which are calibrated in a single coordinate system. Then the input images are segmented using background modelling and we search for the centre of the object, in this case a yellow ball. The positions of the ball and the goal line are determined using triangulation in a global coordinate system, which is then converted to 3D space, making it possible to determine whether the ball has crossed the line. We can also assess the accuracy of the operation of the system and any errors that occur. The final average error in detecting goals is less than 1.5 mm, which is encouraging for a system that uses consumer-level cameras.

Keywords:segmentation, background modelling, multi-camera system, calibration of cameras, triangulation, detection of centre

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