A new approach for human activity analysis through identification of body parts using skin colour segmentation
by K. Srinivasan, K. Porkumaran, G. Sainarayanan
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 3, No. 2, 2010

Abstract: The objective of this paper is to give a new approach for identifying the human body parts like head, hands and legs for activity analysis. Here, the proposal is made for using different colour space algorithms for identifying the elements of the human body. We have used six dissimilar colour space algorithms such as RGB, YCbCr, HSV1, HSV2, HSI and rgb (Normalised RGB) to analyse the human activities in indoor video sequences. Here, 11 activities have been considered. In the proposed work, the RGB skin model provides the efficiency of 96.35% whereas YCbCr colour space algorithm gives 45.51%.

Online publication date: Tue, 31-Aug-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Signal and Imaging Systems Engineering (IJSISE):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com