The Effect of Training Data Selection on Face Recognition in Surveillance Application
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Anlai Sun, Wei Hu, Ying Xiong, Jian Li, QingE Wu, 2014. A hierarchical target recognition method based on image processing. Artificial Intelligence Research, Vol. 3, No. 3.
Davis, M, Stefan Popov, Cristina Surlea, 2010. Real-Time Face Recognition from Surveillance Video.Studies in Computational Intelligence Vol.332.Pages 155-194.
Jillela, R.R., Ross, A.,2009.Adaptive frame selection for improved face recognition in low-resolution videos.Neural Networks, IJCNN.Pages 1439-1445.
Kamgar-Parsi, B., Lawson, W., Kamgar-Parsi, B., 2011.Toward Development of a Face Recognition System for Watchlist Surveillance.Pattern Analysis and Machine Intelligence, IEEE Transactions. Vol.33. Pages 1925 - 1937.
National ICT Australia Limited, 2014.http://arma.sourceforge.net/chokepoint/.
Vera-Rodriguez, R., J. Fierrez, P. Tome, J. Ortega-Garcia, 2010. Face Recognition at a Distance: Scenario Analysis and Applications. Advances in Intelligent and Soft Computing, Vol.79. Pages 341-348.
http://dx.doi.org/10.1007/978-3-642-14883-5_44
Wiliem, Arnold and Madasu, Vamsi Krishna and Boles, WageehW. and Yarlagadda, Prasad K.D.V, 2007. A feature based face recognition technique using Zernike moments. Proceedings RNSA Security Technology Conference. Pages 341-355.
Yoo, S., Park, R. and Sim, D., 2007.Investigation of Color Spaces for Face Recognition.In Proceedings of Machine Vision Application.Pages 106-109.
YuxiPeng, 2011. Face Recognition at a Distance: a study of super resolution. Master thesis, University of Twente.
Zhao, W., Chellappa, R., Phillips, P. J., Rosenfeld, A., 2003 Face recognition: A literature survey.ACM Computing Surveys (CSUR), Vol.35, Issue 4. Pages 399-458.
http://dx.doi.org/10.1145/954339.954342