STATISCAL-BASED SKIN CLASSIFIER FOR OMNI-DIRECTIONAL IMAGES

Asaf Shupo, Bill Kapralos, Miguel Vargas Martin

2007

Abstract

This paper describes the development of a simple, video-based system capable of efficiently detecting human skin in images captured with an omni-directional video sensor. The video sensor is used to provide a view of the entire visual hemisphere thereby providing multiple dynamic views of a scene. Color models of both skin and non-skin were constructed with images obtained with the omni-directional video sensor. Using a stochastic weak estimator coupled with a linear classifier, the system is capable of distinguishing omni-directional images that contain human skin from those that do not. Results indicate that the system is able to accomplish this task in a simple and computationally efficient manner. The ability to obtain an image of the entire scene from a single viewpoint using the omni-directional video sensor and determine whether the image contains human skin (e.g., one or more humans) in a simple and efficient manner is practical as a precursor for a number of applications including teleconferencing, remote learning, and video surveillance, the application of interest in this work.

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Paper Citation


in Harvard Style

Shupo A., Kapralos B. and Vargas Martin M. (2007). STATISCAL-BASED SKIN CLASSIFIER FOR OMNI-DIRECTIONAL IMAGES . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Human Presence Detection for Context-aware Systems, (VISAPP 2007) ISBN 978-972-8865-75-7, pages 11-17. DOI: 10.5220/0002060800110017


in Bibtex Style

@conference{human presence detection for context-aware systems07,
author={Asaf Shupo and Bill Kapralos and Miguel Vargas Martin},
title={STATISCAL-BASED SKIN CLASSIFIER FOR OMNI-DIRECTIONAL IMAGES},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Human Presence Detection for Context-aware Systems, (VISAPP 2007)},
year={2007},
pages={11-17},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002060800110017},
isbn={978-972-8865-75-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Human Presence Detection for Context-aware Systems, (VISAPP 2007)
TI - STATISCAL-BASED SKIN CLASSIFIER FOR OMNI-DIRECTIONAL IMAGES
SN - 978-972-8865-75-7
AU - Shupo A.
AU - Kapralos B.
AU - Vargas Martin M.
PY - 2007
SP - 11
EP - 17
DO - 10.5220/0002060800110017