A new search and extraction technique for motion capture data

Motion capture is defined as measuring the position and orientation of an object in physical space by triangulating information from multiple cameras which tracks and estimate a number of retro reflective markers over time. This information is later translated into a 3 dimensional digital representa...

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Bibliographic Details
Main Author:	Mohamad, Rafidei
Format:	Thesis
Language:	English
Published:	2008
Subjects:	QA75 Electronic computers Computer science TR Photography
Online Access:	http://eprints.utm.my/id/eprint/9545/1/RafideiMohamadMFSKSM2008.pdf
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id	my-utm-ep.9545
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spelling	my-utm-ep.95452018-07-04T11:47:40Z A new search and extraction technique for motion capture data 2008-11 Mohamad, Rafidei QA75 Electronic computers. Computer science TR Photography Motion capture is defined as measuring the position and orientation of an object in physical space by triangulating information from multiple cameras which tracks and estimate a number of retro reflective markers over time. This information is later translated into a 3 dimensional digital representation. Motion capture is applied in a wide range of field such as biomechanics, athletic analysis/training, gait analysis, computer animations, gesture recognition, sign language, music and also fine art dance/performance. In sport science, motion capture data is used for analyzing and perfecting the sequencing mechanics of premiere athletes, as well as monitoring the recovery progress of physical therapies. Existing indexing and extraction technique for motion capture files are based on the whole body motion, where-by motion analysis in sport generally focuses on repeated movements made by specific part of limb such as the arms and legs to measure the effects of a training program. In this research, "Silat Olahraga" movements were used as a case study to apply a new technique for searching and extraction of motion capture files based on different human body segments."Silat Olahraga" is a type of sport based on "Silat", a combative art of Malay fighting and survival. A total of sixteen "Silat Olahraga" motion samples simulating four different motion categories were collected and stored as a motion capture database. The process of identification and extraction of logically related motions scattered within the data set called content-based retrieval method was performed to return results to the user. Results from the experiments show that matching motion files were successfully extracted from the motion capture library using the new algorithm based on different human body segments. 2008-11 Thesis http://eprints.utm.my/id/eprint/9545/ http://eprints.utm.my/id/eprint/9545/1/RafideiMohamadMFSKSM2008.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science TR Photography
spellingShingle	QA75 Electronic computers Computer science TR Photography Mohamad, Rafidei A new search and extraction technique for motion capture data
description	Motion capture is defined as measuring the position and orientation of an object in physical space by triangulating information from multiple cameras which tracks and estimate a number of retro reflective markers over time. This information is later translated into a 3 dimensional digital representation. Motion capture is applied in a wide range of field such as biomechanics, athletic analysis/training, gait analysis, computer animations, gesture recognition, sign language, music and also fine art dance/performance. In sport science, motion capture data is used for analyzing and perfecting the sequencing mechanics of premiere athletes, as well as monitoring the recovery progress of physical therapies. Existing indexing and extraction technique for motion capture files are based on the whole body motion, where-by motion analysis in sport generally focuses on repeated movements made by specific part of limb such as the arms and legs to measure the effects of a training program. In this research, "Silat Olahraga" movements were used as a case study to apply a new technique for searching and extraction of motion capture files based on different human body segments."Silat Olahraga" is a type of sport based on "Silat", a combative art of Malay fighting and survival. A total of sixteen "Silat Olahraga" motion samples simulating four different motion categories were collected and stored as a motion capture database. The process of identification and extraction of logically related motions scattered within the data set called content-based retrieval method was performed to return results to the user. Results from the experiments show that matching motion files were successfully extracted from the motion capture library using the new algorithm based on different human body segments.
format	Thesis
qualification_level	Master's degree
author	Mohamad, Rafidei
author_facet	Mohamad, Rafidei
author_sort	Mohamad, Rafidei
title	A new search and extraction technique for motion capture data
title_short	A new search and extraction technique for motion capture data
title_full	A new search and extraction technique for motion capture data
title_fullStr	A new search and extraction technique for motion capture data
title_full_unstemmed	A new search and extraction technique for motion capture data
title_sort	new search and extraction technique for motion capture data
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2008
url	http://eprints.utm.my/id/eprint/9545/1/RafideiMohamadMFSKSM2008.pdf
_version_	1747814751391449088

A new search and extraction technique for motion capture data

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