Face analysis in video: face detection and tracking with pose estimation
by Hazar Mliki; Mohamed Hammami
International Journal of Biometrics (IJBM), Vol. 10, No. 2, 2018

Abstract: We introduced a full automatic approach to achieve face detection and tracking with pose estimation in video sequences. The proposed approach consists of three modules: face detection module, face tracking module and face pose estimation module. A combination between detection and tracking modules was performed to overcome the different challenging problems that might occur while detecting or tracking faces. Afterward face pose estimation module was applied to select the best camera capture which is closest to the frontal face view for better face recognition task. The performance of these modules was evaluated with an experimental study which has proven the robustness of the proposed approach for a face analysis in video.

Online publication date: Tue, 08-May-2018

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 Biometrics (IJBM):
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