An accurate algorithm for head detection based on XYZ and HSV hair and skin color models

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dc.contributor.author Zhang, Zui en_US
dc.contributor.author Gunes, Hatice en_US
dc.contributor.author Piccardi, Massimo en_US
dc.contributor.editor Chellappa, R.; Manjunath, B.S.; Girod, B.; Ortega, A. en_US
dc.date.accessioned 2010-05-28T09:59:28Z
dc.date.available 2010-05-28T09:59:28Z
dc.date.issued 2008 en_US
dc.identifier 2008001847 en_US
dc.identifier.citation Zhang Zui, Gunes Hatice, and Piccardi Massimo 2008, 'An accurate algorithm for head detection based on XYZ and HSV hair and skin color models', IEEE, Piscataway, NJ, USA, pp. 1644-1647. en_US
dc.identifier.issn 978-1-4244-1764-3 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10778
dc.description.abstract Head detection in images and videos plays an important role in a wide range of computer vision and multimedia applications. In this paper, we propose a new head detection algorithm that is capable of handling significantly variable conditions in terms of viewpoint (i.e. frontal, profile, back view, from -180 degrees to +180 degrees), tilt angle (i.e. from horizontal to aerial), scale and resolution. To this aim, we built a new model for the head based on appearance distributions and shape constraints. The appearance distribution models the colors of hair and skin by sets of Gaussian mixtures in the XYZ and HSV color spaces. The shape constraint fits an elliptical model to the candidate region and compares its parameters with priors based on the human anatomy. This presents a pixel-level measurement of accuracy for the proposed algorithm both prior and after applying the spatial constraints referenced by the elliptical model. The excellent accuracy at both levels confirms the accuracy of the appearance model and the appropriateness of the spatial and topological process. en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/ICIP.2008.4712087 en_US
dc.title An accurate algorithm for head detection based on XYZ and HSV hair and skin color models en_US
dc.parent Proceedings of 2008 IEEE International Conference on Image Processing - ICIP 2008 en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Piscataway, NJ, USA en_US
dc.identifier.startpage 1644 en_US
dc.identifier.endpage 1647 en_US
dc.cauo.name INEXT Research Strength Core en_US
dc.conference Verified OK en_US
dc.for 080109 en_US
dc.personcode 106843 en_US
dc.personcode 034144 en_US
dc.personcode 020073 en_US
dc.percentage 50 en_US
dc.classification.name Pattern Recognition and Data Mining en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.custom IEEE International Conference on Image Processing en_US
dc.date.activity 20081012 en_US
dc.location.activity San Diego, CA, USA en_US
dc.description.keywords Gaussian processes computer vision image colour analysis multimedia communication skin video signal processing en_US
dc.staffid en_US
dc.staffid 020073 en_US


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