SCface – surveillance cameras face database

• Published in: Multimedia tools and applications Vol. 51; no. 3; pp. 863 - 879
• Main Authors: Grgic, Mislav, Delac, Kresimir, Grgic, Sonja
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.02.2011; Springer Nature B.V
• Subjects: Algorithms; Analysis; Camcorders; Cameras; Computer Communication Networks; Computer Science; Control algorithms; Data Structures and Information Theory; Digital video; Experiments; Face; Face recognition; Facial recognition technology; Identification; Infrared; Law enforcement; Multimedia; Multimedia computer applications; Multimedia Information Systems; National security; Night vision; Pattern recognition systems; Principal components analysis; Protocol; Security management; Special Purpose and Application-Based Systems; Studies; Surveillance; Face recognition; Video surveillance cameras; Face database
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-009-0417-2

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 .