TY  - CONF
VL  - 59
EP  - 795
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908049461&doi=10.2495%2fICACC131031&partnerID=40&md5=f6873b4d6d183f84fa3f4717416a267a
A1  - Saini, S.
A1  - Rambli, D.R.B.A.
A1  - Sulaiman, S.B.
A1  - Zakaria, M.N.B.
SN  - 17433517
PB  - WITPress
Y1  - 2014///
KW  - Monte Carlo methods; Motion analysis
KW  -  Annealed particle filters; Computational costs; Hierarchical; Hierarchical approach; Human motion tracking; Motion tracking; Particle filter; State-of-the-art algorithms
KW  -  Particle swarm optimization (PSO)
ID  - scholars4372
TI  - Hierarchical approach for articulated 3D human motion tracking using PF-based PSO
SP  - 789
N2  - In this paper, particle filter integrates with particle swarm optimization (PF-PSO) is proposed for articulated 3D human motion tracking. In vision-based human motion tracking, two algorithms most extensively have been used, namely, PF and PSO. In order to take the advantage of both algorithms, we use the PSO algorithm in the particle filtering to shift the weighted particles toward into high probable space to get the optimal human pose. In order to reduce the computational cost we optimize the body poses in hierarchical manners. The approach shows strength in the qualitative comparisons with other conventional state-of-the-art algorithms like PF, annealed particle filter, and PSO. © 2014 WIT Press.
N1  - cited By 1; Conference of 2013 5th International Conference on Advanced Computer Control, ICACC 2013 ; Conference Date: 14 December 2013 Through 15 December 2013; Conference Code:107404
AV  - none
ER  -