Soccer video analysis : player tracking

In the sports entertainment industry, analysis of videos has become a necessity for any team to compete in the highest standards. Popular sports associations such as the Barclays’ Premier League (BPL) and the National Basketball Association (NBA) have utilized video analyzing software to gather usef...

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Main Author: Chua, Ian Jun Hao
Other Authors: Wang Gang
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/67581
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-675812023-07-07T18:55:09Z Soccer video analysis : player tracking Chua, Ian Jun Hao Wang Gang School of Electrical and Electronic Engineering DRNTU::Engineering In the sports entertainment industry, analysis of videos has become a necessity for any team to compete in the highest standards. Popular sports associations such as the Barclays’ Premier League (BPL) and the National Basketball Association (NBA) have utilized video analyzing software to gather useful information for their own team, such as player movements, team formations and ball trajectories. This benefits the team greatly as they can better understand their opponents before the game by studying their formation and tactics or analyze their own players’ common mistakes during a game. However, current codes are not in real time. The aim of this project is to improve on the existing codes so that it can run in real time. Furthermore, additional improvements such as real-time offside tracking can also be implemented on the existing codes. This would help eliminate human error during a game and ultimately improve the overall quality of a sports game. The project is broken down into three main parts: camera registration, player tracking and ball tracking. The author is in charge of player tracking. The goal of this project is to ultimately implement this technology in soccer matches. Bachelor of Engineering 2016-05-18T06:05:11Z 2016-05-18T06:05:11Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67581 en Nanyang Technological University 47 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Chua, Ian Jun Hao
Soccer video analysis : player tracking
description In the sports entertainment industry, analysis of videos has become a necessity for any team to compete in the highest standards. Popular sports associations such as the Barclays’ Premier League (BPL) and the National Basketball Association (NBA) have utilized video analyzing software to gather useful information for their own team, such as player movements, team formations and ball trajectories. This benefits the team greatly as they can better understand their opponents before the game by studying their formation and tactics or analyze their own players’ common mistakes during a game. However, current codes are not in real time. The aim of this project is to improve on the existing codes so that it can run in real time. Furthermore, additional improvements such as real-time offside tracking can also be implemented on the existing codes. This would help eliminate human error during a game and ultimately improve the overall quality of a sports game. The project is broken down into three main parts: camera registration, player tracking and ball tracking. The author is in charge of player tracking. The goal of this project is to ultimately implement this technology in soccer matches.
author2 Wang Gang
author_facet Wang Gang
Chua, Ian Jun Hao
format Final Year Project
author Chua, Ian Jun Hao
author_sort Chua, Ian Jun Hao
title Soccer video analysis : player tracking
title_short Soccer video analysis : player tracking
title_full Soccer video analysis : player tracking
title_fullStr Soccer video analysis : player tracking
title_full_unstemmed Soccer video analysis : player tracking
title_sort soccer video analysis : player tracking
publishDate 2016
url http://hdl.handle.net/10356/67581
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