Presentation	2012/1/12 Face and Hair Tracking Using Kinect KAZUMASA SUZUKI, YIQIANG QI, HAIYUAN WU,
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Abstract(in English)	We have proposed an object-tracking algorithm called as EK-means tracker, which has two improvements are made to the conventional K-means tracker to solve the instability problem that occurs when some background objects show similar colors to the target or the size of the target object changes significantly. The first one is introducing of the depth information as the sixth feature into the original 5D feature space for describing pixels. In this paper, we propose a face and hair tracking system at video-rate by using Kinect to capture color images and depth images. Our system can perform stable tracking regardless of face direction because it tracks the face and hair simultaneously.
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Paper #	Vol.2012-CVIM-180 No.58
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Conference Information
Committee	MVE
Conference Date	2012/1/12(1days)
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Paper Information
Registration To	Media Experience and Virtual Environment (MVE)
Language	JPN
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Title (in English)	Face and Hair Tracking Using Kinect
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1st Author's Name	KAZUMASA SUZUKI
1st Author's Affiliation	Wakayama University()
2nd Author's Name	YIQIANG QI
2nd Author's Affiliation	Wakayama University
3rd Author's Name	HAIYUAN WU
3rd Author's Affiliation	Wakayama University
Date	2012/1/12
Paper #	Vol.2012-CVIM-180 No.58
Volume (vol)	vol.111
Number (no)	380
Page	pp.pp.-
#Pages	4
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