Video database for face recognition

článek ve sborníku ve WoS nebo Scopus

angličtina

This paper deals with video sequences database design and assembly for face recognition system working under specific limiting conditions. Features used for recognition have to be insensitive to surroundings influences as scenario1, scene content and illumination, face dimensions and pose, image resolution etc. Since current face recognition algorithms are partially independent on surroundings and it is not easy to increase substantially face recognition systems performance, alternative approach to performance increase is to limit general operating conditions – surroundings. This could be achieved by using training and testing databases close to expected operating condition of face recognition system. Assembled database is intended for development and testing of face recognition system integrated in access control system. Video data were taken in an indoor environment by video surveillance cameras of various video resolutions. Database contains 5115 images of 275 human subjects. Face detection is the first step in face recognition, thus face detection system influences performance of face recognition. Therefore assembled database has been used for various face detection algorithms evaluation. In this paper test results of Viola-Jones based face detector providing best results are presented. Test results show the influence of scenario and illuminating conditions on the performance of face detection system.

Videodatabase, face recognition, scenario, real conditions, real surroundings

BAMBUCH, P.; MALACH, T.; MALACH, J.

2012

7. 11. 2012

Bratislava

978-80-970519-0-7

Annual Conference Proceedings Technical Computing Bratislava 2012

12

12

1