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SCface - surveillance cameras face database

SCface - surveillance cameras face database,10.1007/s11042-009-0417-2,Multimedia Tools and Applications,Mislav Grgic,Kresimir Delac,Sonja Grgic

SCface - surveillance cameras face database   (Citations: 5)
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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.
Journal: Multimedia Tools and Applications - MTA , vol. 51, no. 3, pp. 863-879, 2011
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    • ...The accuracy of identity mapping operations was measured on a subset of SCFace image dataset [6]...

    Andrea F. Abateet al. VIVIE: A video-surveillance indexer via identity extraction

    • ...For this, five public face databases (DB) CMU-PIE [19], Color FERET [20], XM2VTSDB [21], SCface [22], and FRGC 2.0 [24] are used...
    • ...Five public CMU-PIE [19], Color FERET [20], XM2VTSDB [21], SCface [22], and FRGC 2.0 [24] face DBs were used to evaluate the proposed method...
    • ...images of 130 subjects were selected from SCface DB. This dataset has been designed to test the FR algorithms inreal-world surveillance setup [22]...
    • ...There are three images per subject for each camera, captured at three different distances (4.20, 2.60, and 1.00 m) as described in [22]...

    Jae Young Choiet al. Boosting Color Feature Selection for Color Face Recognition

    • ...Three databases, two public available face databases (CMU PIE and FRGC 2.0) and one surveillant camera face database, SCface [19] are used for experiments...
    • ...The face images of SCface have very challenging illumination and pose variations, which cause the very low benchmark performance in which the recognition rate is ranging from 0.7% to 7.7% as reported in [19]...
    • ...The SCface database is very challenging, and the benchmark results show that the recognition rate on low resolution images is only 0.7% to 3.1% [19], when one single HR image is used as gallery data per person...

    W. W. W. Zouet al. Very low resolution face recognition problem

    • ...In this section, we present an interactive analysis using two sets of facial image data, Weizmann database 2 and SCface database [10], for facial recognition...

    Jaegul Chooet al. iVisClassifier: An interactive visual analytics system for classificat...

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