A study of stochastic algorithms for 3D articulated human body tracking

The 3D vision based research has gained great attention in recent time because of its increasing applications in numerous domains including smart security surveillance, sports, and computer games and so on. This paper presents a study of various stochastic algorithms to identify their utilization in...

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Main Authors: Saini, S., Rambli, D.R.B.A., Sulaiman, S.B., Zakaria, M.N.B.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32666 /
Published: 2013
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893722936&doi=10.1109%2fICIIP.2013.6707560&partnerID=40&md5=222508a116e6eccc5c0628bcdc34f167
http://eprints.utp.edu.my/32666/
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spelling utp-eprints.326662022-03-30T01:02:16Z A study of stochastic algorithms for 3D articulated human body tracking Saini, S. Rambli, D.R.B.A. Sulaiman, S.B. Zakaria, M.N.B. The 3D vision based research has gained great attention in recent time because of its increasing applications in numerous domains including smart security surveillance, sports, and computer games and so on. This paper presents a study of various stochastic algorithms to identify their utilization in an efficient manner for effective 3D human articulated body tracking. First part of this paper enlightens the stochastic filtering algorithms including particle filter and its variants annealing particle filter. The second part focused on evolutionary optimization algorithms based effective tracking. Currently these two types of algorithms are most extensively used for tracking due to their ability to solve highly nonlinear problems and their consideration uncertainties in the pose estimation. In order to evaluate the performances of these algorithms both qualitatively and quantitatively, we investigate the implementation of the various stochastic algorithm including, particle filter, annealing particle filter, particle swarm optimization and quantum-behaved particle swarm optimization. © 2013 IEEE. 2013 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893722936&doi=10.1109%2fICIIP.2013.6707560&partnerID=40&md5=222508a116e6eccc5c0628bcdc34f167 Saini, S. and Rambli, D.R.B.A. and Sulaiman, S.B. and Zakaria, M.N.B. (2013) A study of stochastic algorithms for 3D articulated human body tracking. In: UNSPECIFIED. http://eprints.utp.edu.my/32666/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description The 3D vision based research has gained great attention in recent time because of its increasing applications in numerous domains including smart security surveillance, sports, and computer games and so on. This paper presents a study of various stochastic algorithms to identify their utilization in an efficient manner for effective 3D human articulated body tracking. First part of this paper enlightens the stochastic filtering algorithms including particle filter and its variants annealing particle filter. The second part focused on evolutionary optimization algorithms based effective tracking. Currently these two types of algorithms are most extensively used for tracking due to their ability to solve highly nonlinear problems and their consideration uncertainties in the pose estimation. In order to evaluate the performances of these algorithms both qualitatively and quantitatively, we investigate the implementation of the various stochastic algorithm including, particle filter, annealing particle filter, particle swarm optimization and quantum-behaved particle swarm optimization. © 2013 IEEE.
format Conference or Workshop Item
author Saini, S.
Rambli, D.R.B.A.
Sulaiman, S.B.
Zakaria, M.N.B.
spellingShingle Saini, S.
Rambli, D.R.B.A.
Sulaiman, S.B.
Zakaria, M.N.B.
A study of stochastic algorithms for 3D articulated human body tracking
author_sort Saini, S.
title A study of stochastic algorithms for 3D articulated human body tracking
title_short A study of stochastic algorithms for 3D articulated human body tracking
title_full A study of stochastic algorithms for 3D articulated human body tracking
title_fullStr A study of stochastic algorithms for 3D articulated human body tracking
title_full_unstemmed A study of stochastic algorithms for 3D articulated human body tracking
title_sort study of stochastic algorithms for 3d articulated human body tracking
publishDate 2013
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893722936&doi=10.1109%2fICIIP.2013.6707560&partnerID=40&md5=222508a116e6eccc5c0628bcdc34f167
http://eprints.utp.edu.my/32666/
_version_ 1741197765780701184
score 11.62408

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