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A FRAMEWORK FOR MARKERLESS FULL BODY HUMAN 3D MONOCULAR POSE ESTIMATION

Pose estimation IS an important pre-processing step m computer vision-based automatic capture and analysis human motion. Despite its high efficiency in handling the ambiguities situation, multiple view approach of pose estimation is costly incurs high computational cost due to more complex system...

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Main Author: TOMI, AZFAR
Format: Thesis
Language:English
Published: 2015
Subjects:
Q Science (General)
Online Access:http://utpedia.utp.edu.my/id/eprint/21124/1/2014%20-%20INFORMATION%20TECHNOLOGY%20-%20A%20FRAMEWORK%20FOR%20MARKERLESS%20FULL%20BODY%20HUMANS%203D%20MONOCULAR%20POSE%20ESTIMATION%20-%20AZFAR%20BIN%20TOMI%20-%20MASTER.pdf
http://utpedia.utp.edu.my/id/eprint/21124/
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spelling oai:utpedia.utp.edu.my:211242024-07-24T06:35:16Z http://utpedia.utp.edu.my/id/eprint/21124/ A FRAMEWORK FOR MARKERLESS FULL BODY HUMAN 3D MONOCULAR POSE ESTIMATION TOMI, AZFAR Q Science (General) Pose estimation IS an important pre-processing step m computer vision-based automatic capture and analysis human motion. Despite its high efficiency in handling the ambiguities situation, multiple view approach of pose estimation is costly incurs high computational cost due to more complex system. Recently, most of the work focusing in a low cost and practical monocular view approach due to its suitability for a common user and low complex system. However, several monocular view issues arise with regard to self-occlusion which leads into problem in body part extraction, and the undetermined value in human pose reconstruction focusing on upper and lower limbs reconstruction that caused the reconstruction problem especially in high noise movement. Thus, this thesis project presents a framework for a real time markerless motion capture to track human full-body movement for monocular 3D pose estimation. The proposed framework comprises of a combination of top-dov.'!1 and bottom-up approach toward 3D pose estimation in monocular view based on endeffector driven. The proposed framework is built as a three-stage framework. 2015-05 Thesis NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/21124/1/2014%20-%20INFORMATION%20TECHNOLOGY%20-%20A%20FRAMEWORK%20FOR%20MARKERLESS%20FULL%20BODY%20HUMANS%203D%20MONOCULAR%20POSE%20ESTIMATION%20-%20AZFAR%20BIN%20TOMI%20-%20MASTER.pdf TOMI, AZFAR (2015) A FRAMEWORK FOR MARKERLESS FULL BODY HUMAN 3D MONOCULAR POSE ESTIMATION. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
TOMI, AZFAR
A FRAMEWORK FOR MARKERLESS FULL BODY HUMAN 3D MONOCULAR POSE ESTIMATION
description Pose estimation IS an important pre-processing step m computer vision-based automatic capture and analysis human motion. Despite its high efficiency in handling the ambiguities situation, multiple view approach of pose estimation is costly incurs high computational cost due to more complex system. Recently, most of the work focusing in a low cost and practical monocular view approach due to its suitability for a common user and low complex system. However, several monocular view issues arise with regard to self-occlusion which leads into problem in body part extraction, and the undetermined value in human pose reconstruction focusing on upper and lower limbs reconstruction that caused the reconstruction problem especially in high noise movement. Thus, this thesis project presents a framework for a real time markerless motion capture to track human full-body movement for monocular 3D pose estimation. The proposed framework comprises of a combination of top-dov.'!1 and bottom-up approach toward 3D pose estimation in monocular view based on endeffector driven. The proposed framework is built as a three-stage framework.
format Thesis
author TOMI, AZFAR
author_facet TOMI, AZFAR
author_sort TOMI, AZFAR
title A FRAMEWORK FOR MARKERLESS FULL BODY HUMAN 3D MONOCULAR POSE ESTIMATION
title_short A FRAMEWORK FOR MARKERLESS FULL BODY HUMAN 3D MONOCULAR POSE ESTIMATION
title_full A FRAMEWORK FOR MARKERLESS FULL BODY HUMAN 3D MONOCULAR POSE ESTIMATION
title_fullStr A FRAMEWORK FOR MARKERLESS FULL BODY HUMAN 3D MONOCULAR POSE ESTIMATION
title_full_unstemmed A FRAMEWORK FOR MARKERLESS FULL BODY HUMAN 3D MONOCULAR POSE ESTIMATION
title_sort framework for markerless full body human 3d monocular pose estimation
publishDate 2015
url http://utpedia.utp.edu.my/id/eprint/21124/1/2014%20-%20INFORMATION%20TECHNOLOGY%20-%20A%20FRAMEWORK%20FOR%20MARKERLESS%20FULL%20BODY%20HUMANS%203D%20MONOCULAR%20POSE%20ESTIMATION%20-%20AZFAR%20BIN%20TOMI%20-%20MASTER.pdf
http://utpedia.utp.edu.my/id/eprint/21124/
_version_ 1805891016226504704
score 13.222552

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