DocumentCode :
2226465
Title :
A new method for hand segmentation using free-form skin color model
Author :
Dawod, Ahmad Yahya ; Abdullah, Junaidi ; Alam, Md Jahangir
Author_Institution :
Fac. of Inf. Technol., Mulimedia Univ., Cyberjaya, Malaysia
Volume :
2
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
Accurate hand segmentation is a challenging task in computer vision applications. We propose a new method to segment hand based on free-form skin color model. The pixel value of a person´s hand is captured and represented in YCbCr color model. The CbCr color space is mapped to a CbCr plane in order to produce a clustered region of skin color. Then, instead of using ellipse to model the skin color, edge detection is performed on the clustered region to construct a free-form skin color model. The hand segmentation result, tested on various complex backgrounds gives promising results.
Keywords :
computer vision; edge detection; image colour analysis; image segmentation; YCbCr color model; computer vision; edge detection; free-form skin color model; hand segmentation; Computational modeling; Computers; Image edge detection; Morphology; YCbCr color space image segmentation; free-form skin color model; hand detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579466
Filename :
5579466
Link To Document :
بازگشت