Yangın ve Güvenlik Dergisi 184. Sayı (Temmuz-Ağustos 2016)

GÜVENL ø K - MAKALE rak, yakla ü × m × m × z %77.57 seviyesinde bir do ù ruluk oran × sunmaktad × r. Gelecekte yüksek kaliteli kameralar ve bir ü üpheli listesindeki ki ü inin birden fazla görüntüsü ile alg × lama yapabiliriz. Bunu yaparak da sistemin do ù ruluk oran × n × artt × rabiliriz. References 1. J.Yang, D. Zhang, A.F. Farangi. Two- Dimensional PCA: A New Approa- ch to Appearance-Based Face Representation and Recognition. IEEE Trans. Pattern Analysis and Ma- chine Intelligence ; 2004.p. 71-76. 2. R. Gottumukkal, and V. K. Asari. An Improved Face Recognition Te- chnique based on Modular PCA Approach. Elsevier Science Direct ; 2003.p.429-436. 3. B K Parsi, W Lawson, B K Parsi. Toward Development of a Face Recognition System for Watchlist Surveillance. IEEE Trans. pattern analysis and machine intelligence ; 2011. 4. K. Lee, M. Yang, D. Kriegman. Vi- deo Based Face Recognition using Probabilistic Appearance Manifol- ds. IEEE conf. computer vision and pattern recognition ; 2003. p.313- 320. 5. W. Fan, Y Wang, T. Tan. Video Based Face Recognition Using Bayesian Inference Model. Springer; 2005. p. 122-130. 6. T.S Rupra. Face Recognition Ba- sed on PCA Algorithm. In: IJCSI ; 2012.p.231-235. 7. L. An, M. Kafai and B. Bhanu. Dyna- mic Bayesian Network for Uncons- trained Face Recognition in Sur- veillance Camera Networks. IEEE journal ; 2013. 8. P. Kamenacy, M. Zarchariasova, R. Hudec. A Noval Approach to Face Recognition using Image Segmen- tation Based on SPCA-KNN Met- hod; In: Radio Engineering ; 2013. 9. H. Bae, S. Kim. Real-time face detection and recognition using hybrid-information extracted from face space and facial features. Image and Vision Computing, 23(13):1181–1191; 2005. 10. E. A. R´ua, J. L. A. Castro, C. G. Mateo. Quality-based score nor- malization and frame selection for video-based person authenticati- on. In BIOID, Lecture Notes in Com- puter Science (LNCS); 2008.p.1-9. 11. J. Sang, Z. Lei, S. Z. Li. Face ima- ge quality evaluation for ISO/IEC standards. In LNCS, volume 5558; 2009.p. 229–238. 12. S. Biswas, G. Aggrawal, P. J. Flynn. Face Recognition in Low-Resolu- tion Videos Using Learning-Based Likelihood Measurement Model, IEEE conf. Biometrics (IJCB); 2011. 13. Z. Cui, S. Shan, H. Zang, S. Lao, X. Chen. Image Sets Alignment for Video-based Face Recognition. IEEE conf. in Computer Vision and Pattern Recognition; 2012.p. 2626 – 2633.