Robust embedded vision system for face detection and identification in smart surveillance Online publication date: Sun, 08-Nov-2015
by K. Selvakumar; Jovitha Jerome; Nishanth Shankar; T. Sarathkumar
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 8, No. 6, 2015
Abstract: Over recent years, the demand for face video analytics in surveillance cameras is increasing dramatically due to the need for real-time event detection in commercial and security applications. The main objective of this paper is to implement robust face detection and identification system on a programmable resource constrained digital video processor. In order to reduce the unnecessary computations involved in Viola and Jones (V-J) face detector, we have proposed skin detection based search window reduction technique. After that, to identify the detected faces, we have proposed sparse prototypes based face identification algorithm which can address partial occlusion and expression variation issues effectively. Furthermore, within the face identification framework, a simple rejection ratio has been proposed to reject the invalid test faces. Experimental results of the developed embedded vision system demonstrate that the proposed methods can achieve satisfactory performance in uncontrolled settings.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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:
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