Human Pose Tracking from Monocular Image Sequences
This thesis proposes various novel approaches for improving the performance of automatic 2D human pose tracking system including multi-scale strategy, mid-level spatial dependencies to constrain more relations of multiple body parts, additional constraints between symmetric body parts and the left/r...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/51721 |
| _version_ | 1848758139857403904 |
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| author | Tian, Jinglan |
| author_facet | Tian, Jinglan |
| author_sort | Tian, Jinglan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This thesis proposes various novel approaches for improving the performance of automatic 2D human pose tracking system including multi-scale strategy, mid-level spatial dependencies to constrain more relations of multiple body parts, additional constraints between symmetric body parts and the left/right confusion correction by a head orientation estimator. These proposed approaches are employed to develop a complete human pose tracking system. The experimental results demonstrate significant improvements of all the proposed approaches towards accuracy and efficiency. |
| first_indexed | 2025-11-14T09:39:15Z |
| format | Thesis |
| id | curtin-20.500.11937-51721 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:39:15Z |
| publishDate | 2016 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-517212017-03-28T04:33:53Z Human Pose Tracking from Monocular Image Sequences Tian, Jinglan This thesis proposes various novel approaches for improving the performance of automatic 2D human pose tracking system including multi-scale strategy, mid-level spatial dependencies to constrain more relations of multiple body parts, additional constraints between symmetric body parts and the left/right confusion correction by a head orientation estimator. These proposed approaches are employed to develop a complete human pose tracking system. The experimental results demonstrate significant improvements of all the proposed approaches towards accuracy and efficiency. 2016 Thesis http://hdl.handle.net/20.500.11937/51721 Curtin University fulltext |
| spellingShingle | Tian, Jinglan Human Pose Tracking from Monocular Image Sequences |
| title | Human Pose Tracking from Monocular Image Sequences |
| title_full | Human Pose Tracking from Monocular Image Sequences |
| title_fullStr | Human Pose Tracking from Monocular Image Sequences |
| title_full_unstemmed | Human Pose Tracking from Monocular Image Sequences |
| title_short | Human Pose Tracking from Monocular Image Sequences |
| title_sort | human pose tracking from monocular image sequences |
| url | http://hdl.handle.net/20.500.11937/51721 |