Abstract
The aim of the research is to develop the algorithms for acceleration of image processing at automatic registration of meeting participant based on implementation of blurriness estimation and recognition of participants faces procedures. The data captured by the video registration system in the intelligent meeting room are used for calculation variety of person face size in captured image as well as for estimation of face recognition methods. The results shows that LBP method has highest recognition accuracy (79,5%) as well as PCA method has the lowest false alarm rate (1,3%). The implementation of the blur estimation procedure allowed the registration system to exclude 22% photos with insufficient quality, as a result the speed of the whole system were significantly increased.
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References
Yusupov, R.M., Ronzhin, A.L., Prischepa, M., Ronzhin, A.L.: Models and Hardware-Software Solutions for Automatic Control of Intelligent Hall. ARC 72(7), 1389–1397 (2011)
Aldrich, F.: Smart Homes: Past, Present and Future. In: Harper, R. (ed.) Inside the Smart Home, pp. 17–39. Springer, London (2003)
Nakashima, H., Aghajan, H.K., Augusto, J.C.: Handbook of Ambient Intelligence and Smart Environments. Springer, Heidelberg (2010)
Calonder, M., Lepetit, V., Strecha, C., Fua, P.: BRIEF: Binary Robust Independent Elementary Features. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol. 6314, pp. 778–792. Springer, Heidelberg (2010)
Ronzhin, A., Budkov, V.: Speaker Turn Detection Based on Multimodal Situation Analysis. In: Železný, M., Habernal, I., Ronzhin, A. (eds.) SPECOM 2013. LNCS (LNAI), vol. 8113, pp. 302–309. Springer, Heidelberg (2013)
Zhang, C., Yin, P., et al.: Boosting-Based Multimodal Speaker Detection for Distributed Meeting Videos. IEEE Transactions on Multimedia 10(8), 1541–1552 (2008)
Karpov, A., Markov, K., Kipyatkova, I., Vazhenina, D., Ronzhin, A.: Large vocabulary Russian speech recognition using syntactico-statistical language modeling. Speech Communication 56, 213–228 (2014)
Ekenel, H.K., Fischer, M., Jin, Q., Stiefelhagen, R.: Multi-modal Person Identification in a Smart Environment. In: Proc. of CVPR 2007, pp. 1–8 (2007)
Stiefelhagen, R., Bernardin, K., Ekenel, H.K., McDonough, J., Nickel, K., Voit, M., Wlfel, M.: Audio-Visual Perception of a Lecturer in a Smart Seminar Room. Signal Processing 86(12), 3518–3533 (2006)
Ekenel, H.K., Fischer, M., Stiefelhagen, R.: Face Recognition in Smart Rooms. In: Popescu-Belis, A., Renals, S., Bourlard, H. (eds.) MLMI 2007. LNCS, vol. 4892, pp. 120–131. Springer, Heidelberg (2008)
Schneiderman, H., Kanade, T.: Object detection using the statistic of parts. International Journal of Computer Vision 56(3), 151–177 (2004)
Abate, A.F., Nappi, M., Riccio, D., Sabatino, G.: 2D and 3D face recognition: A survey. Pattern Recognition Letters 28(14), 1885–1906 (2007)
Gorodnichy, M.D.: Video-Based Framework for Face Recognition in Video. In: Proc. CRV 2005, pp. 330–338 (2005)
Castrillón-Santana, M., Déniz-Suárez, O., Guerra-Artal, C., Hernández-Tejera, M.: Real-time Detection of Faces in Video Streams. In: Proc. of CRV 2005, pp. 298–305 (2005)
Turk, M.A., Pentland, A.P.: Face recognition using eigenfaces. In: Proc. of IEEE CVPR, pp. 586–591 (1991)
Belhumeur, P.N., Hespanha, J., Kriegman, D.: Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. TPAMI 19(7), 711–720 (1997)
Ahonen, T., Hadid, A., Pietikäinen, M.: Face Recognition with Local Binary Patterns. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004)
Georgescu, D.: A Real-Time Face Recognition System Using Eigenfaces. Journal of Mobile, Embedded and Distributed Systems 3(4), 193–204 (2011)
Yang, J., Yu, Y., Kunz, W.: An Efficient LDA Algorithm for Face Recognition. In: The Proc. Sixth Int. Conf. Control, Automation, Robotics and Vision (2000)
Fukunaga, K.: Introduction to Statistical Pattern Recognition, 2nd edn. Academic Press, New York (1990)
Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. TPAMI 24, 971–987 (2002)
Viola, P., Jones, M., Snow, D.: Detecting pedestrians using patterns of motion and appearance. In: Proc. of IEEE ICCV, pp. 734–741 (2003)
Mittal, A., Soundarajan, R., Bovik, A.C.: Making a ’Completely Blind’ Image Quality Analyzer. IEEE Signal Processing Letters 20(3), 209–212 (2013)
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Ronzhin, A., Vatamaniuk, I., Ronzhin, A., Železný, M. (2014). Algorithms for Acceleration of Image Processing at Automatic Registration of Meeting Participants. In: Ronzhin, A., Potapova, R., Delic, V. (eds) Speech and Computer. SPECOM 2014. Lecture Notes in Computer Science(), vol 8773. Springer, Cham. https://doi.org/10.1007/978-3-319-11581-8_11
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DOI: https://doi.org/10.1007/978-3-319-11581-8_11
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