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3D position estimation of sports players through multi-view tracking

Thesis (MSc (Mathematics))--University of Stellenbosch, 2010.

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Main Author: Vos, Robert (Robbie)
Other Authors: Brink, Willie
Format: Thesis
Language:English
Published: Stellenbosch : University of Stellenbosch 2010
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access_status_str Open Access
author Vos, Robert (Robbie)
author2 Brink, Willie
author_browse Brink, Willie
Vos, Robert (Robbie)
author_facet Brink, Willie
Vos, Robert (Robbie)
author_sort Vos, Robert (Robbie)
collection Thesis
dc_rights_str_mv University of Stellenbosch
description Thesis (MSc (Mathematics))--University of Stellenbosch, 2010.
format Thesis
id oai:scholar.sun.ac.za:10019.1/5167
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:44:14.442Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2010
publishDateRange 2010
publishDateSort 2010
publisher Stellenbosch : University of Stellenbosch
publisherStr Stellenbosch : University of Stellenbosch
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source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/5167 3D position estimation of sports players through multi-view tracking Vos, Robert (Robbie) Brink, Willie Herbst, Ben University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. 3D Tracking Multi-view tracking Sport Dissertations -- Mathematics Theses -- Mathematics Athletes Thesis (MSc (Mathematics))--University of Stellenbosch, 2010. ENGLISH ABSTRACT: Extracting data from video streams and using the data to better understand the observed world allows many systems to automatically perform tasks that ordinarily needed to be completed by humans. One such problem with a wide range of applications is that of detecting and tracking people in a video sequence. This thesis looks speci cally at the problem of estimating the positions of players on a sports eld, as observed by a multi-view camera setup. Previous attempts at solving the problem are discussed, after which the problem is broken down into three stages: detection, 2D tracking and 3D position estimation. Possible solutions to each of the problems are discussed and compared to one another. Motion detection is found to be a fast and e ective solution to the problem of detecting players in a single view. Tracking players in 2D image coordinates is performed by implementing a hierarchical approach to the particle lter. The hierarchical approach is chosen as it improves the computational complexity without compromising on accuracy. Finally 3D position estimation is done by multiview, forward projection triangulation. The components are combined to form a full system that is able to nd and locate players on a sports eld. The overall system that is developed is able to detect, track and triangulate player positions. The components are tested individually and found to perform well. By combining the components and introducing feedback between them the results of the individual components as well as those of the overall system are improved. AFRIKAANSE OPSOMMING: Deur data uit 'n video-stroom te ontrek, en die data te gebruik om die wêreld wat waargeneem word beter te verstaan, kan baie rekenaarstelsels take outomaties voltooi wat voorheen deur 'n mens sou gedoen moes word. Een so 'n probleem wat 'n wye toepassingsveld het, is om mense te vind en te volg in 'n video. Hierdie tesis kyk spesi ek daarna om die posisie van spelers op 'n sportveld te vind, gegee 'n klomp kameras wat na die veld kyk. Daar word na vorige stelsels wat hierdie probleem probeer oplos gekyk, waarna die probleem in drie dele opgedeel word: vind die spelers, volg die spelers in 2D en skat die posisie van die spelers in 3D. Moontlike oplossings vir elk van hierdie dele word bespreek en vergelyk met mekaar. Daar word gevind dat om beweging te identi seer 'n eenvoudige manier is om die spelers te vind. Hulle word dan gevolg in 2D beeldkoördinate deur gebruik te maak van 'n hiërargiese implementasie van die partikel- lter. Die hiërargiese implementering word gekies omdat dit die spoed van die partikel- lter verbeter, sonder om die akkuraatheid te verswak. Laastens word die 3D posisie gevind deur multi-sigpunt, voorwaartse projeksie triangulering. Die verskillende komponente word kombineer om 'n volledige stelsel te vorm wat spelers kan vind en plaas op 'n veld. Die volledige stelsel wat ontwikkel is, is in staat om spelers te vind, volg en hulle posisies te bepaal. Elk van die individuele komponente word getoets, en daar word gevind dat hulle goed op hulle eie werk. Deur die komponente te kombineer en terugvoer tussen verskillende komponente te bewerkstellig word die resultate van die individuele komponente, sowel as dié van die volledige stelsel nog verbeter. 2010-11-25T13:45:05Z 2010-12-15T10:17:22Z 2010-11-25T13:45:05Z 2010-12-15T10:17:22Z 2010-12 Thesis http://hdl.handle.net/10019.1/5167 en University of Stellenbosch 92 p. : ill. application/pdf Stellenbosch : University of Stellenbosch
spellingShingle 3D Tracking
Multi-view tracking
Sport
Dissertations -- Mathematics
Theses -- Mathematics
Athletes
Vos, Robert (Robbie)
3D position estimation of sports players through multi-view tracking
title 3D position estimation of sports players through multi-view tracking
title_full 3D position estimation of sports players through multi-view tracking
title_fullStr 3D position estimation of sports players through multi-view tracking
title_full_unstemmed 3D position estimation of sports players through multi-view tracking
title_short 3D position estimation of sports players through multi-view tracking
title_sort 3d position estimation of sports players through multi view tracking
topic 3D Tracking
Multi-view tracking
Sport
Dissertations -- Mathematics
Theses -- Mathematics
Athletes
url http://hdl.handle.net/10019.1/5167
work_keys_str_mv AT vosrobertrobbie 3dpositionestimationofsportsplayersthroughmultiviewtracking