DocumentCode
116747
Title
Robust hand segmentation and tracking to illumination variation
Author
Kook-Yeol Yoo
Author_Institution
Dept. of ICE, Yeungnam Univ., Kyungsan, South Korea
fYear
2014
fDate
10-13 Jan. 2014
Firstpage
286
Lastpage
287
Abstract
In this paper, we propose a hand segmentation and tracking algorithm under environment with illumination variation. The initial HSV histogram is computed by the rough HSV ranges of human skin and changed region. The histogram is updated by using the HSV pixel values in the current hand region and changed region. For the accurate update of histogram, other skin region is not used during histogram update. The empirical results show that the proposed method accurately tracks the predefined hand and effectively rules out other skin regions, such as the other hand or face.
Keywords
gesture recognition; image segmentation; HSV pixel values; changed region; hand region; histogram update; human skin; illumination variation; initial HSV histogram; robust hand segmentation; robust hand tracking; rough HSV ranges; skin region; Face; Filtering; Histograms; Image color analysis; Image segmentation; Lighting; Skin;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2014 IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
2158-3994
Print_ISBN
978-1-4799-1290-2
Type
conf
DOI
10.1109/ICCE.2014.6776007
Filename
6776007
Link To Document