Abstract
Face recognition is the most popular biometric used in applications at a distance, which range from high security scenarios such as border control to others such as video games. This is a very challenging task since there are many varying factors (illumination, pose, expression, etc.) This paper reports an experimental analysis of three acquisition scenarios for face recognition at a distance, namely: close, medium, and far distance between camera and query face, the three of them considering templates enrolled in controlled conditions. These three representative scenarios are studied using data from the NIST Multiple Biometric Grand Challenge, as the first step in order to understand the main variability factors that affect face recognition at a distance based on realistic yet workable and widely available data. The scenario analysis is conducted quantitatively in two ways. First, an analysis of the information content in segmented faces in the different scenarios. Second, an analysis of the performance across scenarios of three matchers, one commercial, and two other standard approaches using popular features (PCA and DCT) and matchers (SVM and GMM). The results show to what extent the acquisition setup impacts on the verification performance of face recognition at a distance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ao, M., Yi, D., Lei, Z., Li, S.Z.: Face Recognition at a Distance: System Issues. In: Handbook of Remote Biometrics for Remote Biometrics, pp. 155–167. Springer, Heidelberg (2009)
Casale, P., Pujol, O., Radeva, P.: Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device. In: Pattern Recognition and Image Analysis, pp. 56–63 (2009)
CAVIAR: Context Aware Vision using Image-based Active Recognition, http://homepages.inf.ed.ac.uk/rbf/CAVIAR/
Galbally, J., McCool, C., Fierrez, J., Marcel, S., Ortega-Garcia, J.: On the vulnerability of face verification systems to hill-climbing attacks. Pattern Recognition 43(3), 1027–1038 (2010)
Jafri, R., Arabnia, H.R.: Fusion of face and gait for automatic human recognition. In: Third International Conference on Information Technology: New Generations, pp. 167–173 (2008)
Lee, Y.J., Lee, D.H.: Research on detecting face and hands for motion-based game using web camera. In: Proc. International Conference on Security Technology (SECTECH 2008), pp. 7–12 (2008)
Li, S.Z., Schouten, B., Tistarelli, M.: Biometrics at a Distance: Issues, Challenges, and Prospects. In: Handbook of Remote Biometrics for Surveillance and Security, pp. 3–21. Springer, Heidelberg (2009)
MBGC: Multiple biometric grand challenge. NIST - National Institute of Standard and Technology, http://face.nist.gov/mbgc/
Phillips, P.J., Scruggs, W.T., O’Toole, A.J., Flynn, P.J., Bowyer, K.W., Schott, C.L., Sharpe, M.: Frvt 2006 and ice 2006 large-scale experimental results. IEEE Transactions on Pattern Analysis and Machine Intelligence 32, 831–846 (2010)
Tome, P., Fierrez, J., Alonso-Fernandez, F., Ortega-Garcia, J.: Scenario-based score fusion for face recognition at a distance. In: Proc. IEEE Confererence on Computer Vision and Pattern Recognition (2010)
Vera-Rodriguez, R., Mason, J., Evans, N.: Assessment of a Footstep Biometric Verification System. In: Advances in Pattern Recognition. Handbook of Remote Biometrics. Springer, Heidelberg (2009)
Wang, S., Xiong, X., Xu, Y., Wang, C., Zhang, W., Dai, X., Zhang, D.: Face-tracking as an augmented input in video games: enhancing presence, role-playing and control. In: CHI 2006: Proceedings of the SIGCHI conference on Human Factors in computing systems, pp. 1097–1106. ACM, New York (2006)
Zhou, S.K., Chellappa, R., Zhao, W.: Unconstrained Face Recognition. Springer, Heidelberg (2006)
Zuo, F., de With, P.: Real-time embedded face recognition for smart home. IEEE Transactions on Consumer Electronics 51(1), 183–190 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vera-Rodriguez, R., Fierrez, J., Tome, P., Ortega-Garcia, J. (2010). Face Recognition at a Distance: Scenario Analysis and Applications. In: de Leon F. de Carvalho, A.P., RodrÃguez-González, S., De Paz Santana, J.F., RodrÃguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-14883-5_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14882-8
Online ISBN: 978-3-642-14883-5
eBook Packages: EngineeringEngineering (R0)