Share and Export
Share and Export
Alvarez, Sergio, Llorca, David Fernández, Lacey, Gerard and Ameling, Stefan (2010) Spatial Hand Segmentation Using Skin Colour and Background Subtraction. Technical Report. UNSPECIFIED, Dublin.
Preview
GL_spatial.pdf
Download (155kB) | Preview
Abstract
Despite advances in hand detection and hand tracking, robust hand segmentation remains a challenging task in many
gesture recognition systems. Problems can be caused by
a variety of factors, such as changing illumination and
background clutter. We compare the most commonly used
visual cues for hand segmentation, namely skin colour
and background subtraction, applied both separately and
combined. All three approaches are evaluated on video-data recorded with different backgrounds and under varying lighting conditions using a standard evaluation scheme
based on overlapping masks. Additionally, we introduce a
new evaluation scheme based on global histograms of oriented gradients
| Item Type: | Monograph (Technical Report) |
|---|---|
| Keywords: | Spatial Hand Segmentation; Skin Colour; Background; Subtraction; |
| Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 16898 |
| Depositing User: | Gerard Lacey |
| Date Deposited: | 30 Jan 2023 16:07 |
| Refereed: | Yes |
| URI: | https://mu.eprints-hosting.org/id/eprint/16898 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
- Item control page
Downloads
Downloads per month over past year
