Multimedia Tools and Applications

, Volume 51, Issue 3, pp 863–879 | Cite as

SCface – surveillance cameras face database

Article

Abstract

In this paper we describe a database of static images of human faces. Images were taken in uncontrolled indoor environment using five video surveillance cameras of various qualities. Database contains 4,160 static images (in visible and infrared spectrum) of 130 subjects. Images from different quality cameras should mimic real-world conditions and enable robust face recognition algorithms testing, emphasizing different law enforcement and surveillance use case scenarios. In addition to database description, this paper also elaborates on possible uses of the database and proposes a testing protocol. A baseline Principal Component Analysis (PCA) face recognition algorithm was tested following the proposed protocol. Other researchers can use these test results as a control algorithm performance score when testing their own algorithms on this dataset. Database is available to research community through the procedure described at www.scface.org.

Keywords

Video surveillance cameras Face database Face recognition 

Notes

Acknowledgement

The authors would like to thank Bozidar Klimpak for his technical support during database acquistion and indexing, Kresimir Marusic and Tehnozavod Marusic Ltd. for providing surveillance system equipment, Boris Krzic for providing professional photo equipment and his help with mug shots capturing, Darko Poljak for developing and providing JAVA software used for semiautomatic determination of eyes, nose and mouth coordinates, and to all participants in this project. Portions of the research in this paper use the FERET database of facial images collected under the FERET program. The authors would like to thank the FERET Technical Agent, the U.S. National Institute of Standards and Technology (NIST) for providing the FERET database. The work described in this paper was conducted under the research project “Intelligent Image Features Extraction in Knowledge Discovery Systems” (036-0982560-1643), supported by the Ministry of Science, Education and Sports of the Republic of Croatia.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.University of ZagrebZagrebCroatia

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