3D motion and skeleton construction from monocular video

We describe 3D motion construction as a framework for constructing a 3D motion and skeleton using a monocular video source (2D video). The processes include 3 main phases which involved in generating ground truth 2D annotation using OpenPose, generating the mesh and 3D matrices of person in the sequ...

Full description

Saved in:
Bibliographic Details
Main Authors: Azmi, Nik Mohammad Wafiy, Albakri, Ikmal Faiq, Mohd. Suaib, Norhaida, Mohd. Rahim, Mohd. Shafry, Yu, Hongchuan
Format: Conference or Workshop Item
Published: 2020
Subjects:
Online Access:http://eprints.utm.my/id/eprint/89722/
http://dx.doi.org/10.1007/978-981-15-0058-9_8
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.89722
record_format eprints
spelling my.utm.897222021-02-22T06:09:51Z http://eprints.utm.my/id/eprint/89722/ 3D motion and skeleton construction from monocular video Azmi, Nik Mohammad Wafiy Albakri, Ikmal Faiq Mohd. Suaib, Norhaida Mohd. Rahim, Mohd. Shafry Yu, Hongchuan QA75 Electronic computers. Computer science We describe 3D motion construction as a framework for constructing a 3D motion and skeleton using a monocular video source (2D video). The processes include 3 main phases which involved in generating ground truth 2D annotation using OpenPose, generating the mesh and 3D matrices of person in the sequences of images based on 2D annotation and bounding box and lastly using the matrices to create a HIK 3D skeleton in a standalone Maya application. For the process, we highly relied on the 2D annotation using Convolution Neural Network. We demonstrate our result using a video of Malaysia Traditional Dance called zapin. 2020-01 Conference or Workshop Item PeerReviewed Azmi, Nik Mohammad Wafiy and Albakri, Ikmal Faiq and Mohd. Suaib, Norhaida and Mohd. Rahim, Mohd. Shafry and Yu, Hongchuan (2020) 3D motion and skeleton construction from monocular video. In: 6th International Conference on Computational Science and Technology, ICCST 2019, 29 August 2019 through 30 August 2019, Kota Kinabalu, Malaysia. http://dx.doi.org/10.1007/978-981-15-0058-9_8
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Azmi, Nik Mohammad Wafiy
Albakri, Ikmal Faiq
Mohd. Suaib, Norhaida
Mohd. Rahim, Mohd. Shafry
Yu, Hongchuan
3D motion and skeleton construction from monocular video
description We describe 3D motion construction as a framework for constructing a 3D motion and skeleton using a monocular video source (2D video). The processes include 3 main phases which involved in generating ground truth 2D annotation using OpenPose, generating the mesh and 3D matrices of person in the sequences of images based on 2D annotation and bounding box and lastly using the matrices to create a HIK 3D skeleton in a standalone Maya application. For the process, we highly relied on the 2D annotation using Convolution Neural Network. We demonstrate our result using a video of Malaysia Traditional Dance called zapin.
format Conference or Workshop Item
author Azmi, Nik Mohammad Wafiy
Albakri, Ikmal Faiq
Mohd. Suaib, Norhaida
Mohd. Rahim, Mohd. Shafry
Yu, Hongchuan
author_facet Azmi, Nik Mohammad Wafiy
Albakri, Ikmal Faiq
Mohd. Suaib, Norhaida
Mohd. Rahim, Mohd. Shafry
Yu, Hongchuan
author_sort Azmi, Nik Mohammad Wafiy
title 3D motion and skeleton construction from monocular video
title_short 3D motion and skeleton construction from monocular video
title_full 3D motion and skeleton construction from monocular video
title_fullStr 3D motion and skeleton construction from monocular video
title_full_unstemmed 3D motion and skeleton construction from monocular video
title_sort 3d motion and skeleton construction from monocular video
publishDate 2020
url http://eprints.utm.my/id/eprint/89722/
http://dx.doi.org/10.1007/978-981-15-0058-9_8
_version_ 1692991817434267648
score 13.212271