Alvarez, Sergio and Llorca, David Fernández and Lacey, Gerard and Ameling, Stefan (2010) Spatial Hand Segmentation Using Skin Colour and Background Subtraction. Technical Report. UNSPECIFIED, Dublin.

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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:
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

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