Hierarchical approach for articulated 3D human motion tracking using PF-based PSO
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 u...
| 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.31340 / |
| Published: |
WITPress
2014
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908049461&doi=10.2495%2fICACC131031&partnerID=40&md5=f6873b4d6d183f84fa3f4717416a267a http://eprints.utp.edu.my/31340/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
utp-eprints.31340 |
|---|---|
| recordtype |
eprints |
| spelling |
utp-eprints.313402022-03-25T09:06:25Z Hierarchical approach for articulated 3D human motion tracking using PF-based PSO Saini, S. Rambli, D.R.B.A. Sulaiman, S.B. Zakaria, M.N.B. 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. WITPress 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908049461&doi=10.2495%2fICACC131031&partnerID=40&md5=f6873b4d6d183f84fa3f4717416a267a Saini, S. and Rambli, D.R.B.A. and Sulaiman, S.B. and Zakaria, M.N.B. (2014) Hierarchical approach for articulated 3D human motion tracking using PF-based PSO. In: UNSPECIFIED. http://eprints.utp.edu.my/31340/ |
| institution |
Universiti Teknologi Petronas |
| collection |
UTP Institutional Repository |
| description |
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. |
| 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. Hierarchical approach for articulated 3D human motion tracking using PF-based PSO |
| author_sort |
Saini, S. |
| title |
Hierarchical approach for articulated 3D human motion tracking using PF-based PSO |
| title_short |
Hierarchical approach for articulated 3D human motion tracking using PF-based PSO |
| title_full |
Hierarchical approach for articulated 3D human motion tracking using PF-based PSO |
| title_fullStr |
Hierarchical approach for articulated 3D human motion tracking using PF-based PSO |
| title_full_unstemmed |
Hierarchical approach for articulated 3D human motion tracking using PF-based PSO |
| title_sort |
hierarchical approach for articulated 3d human motion tracking using pf-based pso |
| publisher |
WITPress |
| publishDate |
2014 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908049461&doi=10.2495%2fICACC131031&partnerID=40&md5=f6873b4d6d183f84fa3f4717416a267a http://eprints.utp.edu.my/31340/ |
| _version_ |
1741197557357346816 |
| score |
11.62408 |