eprintid: 6366
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/63/66
datestamp: 2023-11-09 16:18:08
lastmod: 2023-11-09 16:18:08
status_changed: 2023-11-09 16:05:49
type: conference_item
metadata_visibility: show
creators_name: Saini, S.
creators_name: Rambli, D.R.B.A.
creators_name: Sulaiman, S.B.
creators_name: Zakaria, M.N.B.
creators_name: Tomi, A.B.
title: Particle swarm optimization based articulated human pose tracking using enhanced silhouette extraction
ispublished: pub
keywords: Extraction; Image processing; Optimization, 3D tracking; APF; Pose tracking; PSO; Silhouette extraction, Particle swarm optimization (PSO)
note: cited By 1; Conference of 6th International Conference on Graphic and Image Processing, ICGIP 2014 ; Conference Date: 24 October 2014 Through 26 October 2014; Conference Code:111632
abstract: In this paper, we address the problem of three dimensional human pose tracking and estimation using Particle Swarm Optimization (PSO) with an improved silhouette extraction mechanism. In this work, the tracking problem is formulated as a nonlinear function optimization problem so the main objective is to optimize the fitness function between the 3D human model and the image observations. In order to improve the tracking performance, new shadow detection, removal and a level-set mechanism are applied during silhouette extraction. Both the silhouette and edge likelihood are used in the fitness function. Experiments using HumanEva-II dataset demonstrate that the proposed approach performance is considerably better than baseline algorithm which uses the Annealed Particle Filter (APF). © 2015 SPIE.
date: 2015
publisher: SPIE
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925433489&doi=10.1117%2f12.2178884&partnerID=40&md5=8c77858f9d90dc4cae8688cef04e63bf
id_number: 10.1117/12.2178884
full_text_status: none
publication: Proceedings of SPIE - The International Society for Optical Engineering
volume: 9443
refereed: TRUE
isbn: 9781628415582
issn: 0277786X
citation:   Saini, S. and Rambli, D.R.B.A. and Sulaiman, S.B. and Zakaria, M.N.B. and Tomi, A.B.  (2015) Particle swarm optimization based articulated human pose tracking using enhanced silhouette extraction.  In: UNSPECIFIED.