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

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dc.contributor.author Zhang, Z
dc.contributor.author Gunes, H
dc.contributor.author Piccardi, M
dc.date.accessioned 2010-05-28T09:59:28Z
dc.date.issued 2008
dc.identifier.citation Proceedings - International Conference on Image Processing, ICIP, 2008, pp. 1644 - 1647
dc.identifier.isbn 1424417643
dc.identifier.isbn 9781424417643
dc.identifier.issn 1522-4880
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. © 2008 IEEE.
dc.relation.isbasedon 10.1109/ICIP.2008.4712087
dc.title An accurate algorithm for head detection based on XYZ and HSV hair and skin color models
dc.type Conference Proceeding
dc.parent Proceedings - International Conference on Image Processing, ICIP
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.conference IEEE International Conference on Image Processing
dc.for 080104 Computer Vision
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 020073
dc.personcode 034144
dc.personcode 106843
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.date.activity 2008-10-12
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.description.keywords Gaussian processes computer vision image colour analysis multimedia communication skin video signal processing
dc.description.keywords Hair color
dc.description.keywords Head detection
dc.description.keywords Shape constraints
dc.description.keywords Skin color
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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