Side-View Face Recognition for House Safety Applications

Description of research

As a widely used biometrics, face recognition has many advantages such as being non-intrusive, natural and passive. On the other hand, in real-life scenarios with uncontrolled environment, pose variation up to side-view positions makes face recognition a challenging work. In this project, our goal is to recognize people as they pass through doors, and later use this information to estimate their location in the house for house safety applications. In order to preserve privacy of the people we attach our cameras on the door posts to limit the view, and deal with side-view face images.

 

Advisor(s)

Dr.ir. R.N.J. (Raymond) Veldhuis

Dr.ir. L.J. (Luuk) Spreeuwers

Duration

2010-2014

Project

GUARANTEE (A Guardian Angel for the Extended Home Environment)

Funding institution

ITEA 2

Strategic Research Orientation

Istrice – Integrated Security and Privacy in a Networked World

Links to relevant web pages:

http://www.guarantee-itea2.eu/

http://www.sas.el.utwente.nl/open/people/Pinar%20Santemiz

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