Model-based combined tracking and resolution enhancement
Wide area surveillance requires high-resolution images of the object of interest derived possibly from only low-resolution video of the whole scene. We propose a combined tracking and resolution enhancement approach that increases the resolution of the object of interest during tracking. The key ide...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
IEEE
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/25816 |
| _version_ | 1848751812744577024 |
|---|---|
| author | Kuhl, Annika Tan, Tele Venkatesh, Svetha |
| author2 | Not known |
| author_facet | Not known Kuhl, Annika Tan, Tele Venkatesh, Svetha |
| author_sort | Kuhl, Annika |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Wide area surveillance requires high-resolution images of the object of interest derived possibly from only low-resolution video of the whole scene. We propose a combined tracking and resolution enhancement approach that increases the resolution of the object of interest during tracking. The key idea is the use of an object-specific 3D mesh model with which we are able to track non-planar objects across a large number of frames. This model is subdivided such that every triangle is smaller than a pixel when projected into the image to facilitate super-resolution on the model rather than on the image. We apply our approach to faces and show that it outperforms interpolation methods by achieving resolution enhancement, while being less blurred. |
| first_indexed | 2025-11-14T07:58:41Z |
| format | Conference Paper |
| id | curtin-20.500.11937-25816 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:58:41Z |
| publishDate | 2008 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-258162018-03-29T09:08:11Z Model-based combined tracking and resolution enhancement Kuhl, Annika Tan, Tele Venkatesh, Svetha Not known Wide area surveillance requires high-resolution images of the object of interest derived possibly from only low-resolution video of the whole scene. We propose a combined tracking and resolution enhancement approach that increases the resolution of the object of interest during tracking. The key idea is the use of an object-specific 3D mesh model with which we are able to track non-planar objects across a large number of frames. This model is subdivided such that every triangle is smaller than a pixel when projected into the image to facilitate super-resolution on the model rather than on the image. We apply our approach to faces and show that it outperforms interpolation methods by achieving resolution enhancement, while being less blurred. 2008 Conference Paper http://hdl.handle.net/20.500.11937/25816 10.1109/ICPR.2008.4760997 IEEE restricted |
| spellingShingle | Kuhl, Annika Tan, Tele Venkatesh, Svetha Model-based combined tracking and resolution enhancement |
| title | Model-based combined tracking and resolution enhancement |
| title_full | Model-based combined tracking and resolution enhancement |
| title_fullStr | Model-based combined tracking and resolution enhancement |
| title_full_unstemmed | Model-based combined tracking and resolution enhancement |
| title_short | Model-based combined tracking and resolution enhancement |
| title_sort | model-based combined tracking and resolution enhancement |
| url | http://hdl.handle.net/20.500.11937/25816 |