The PCA-Based Long Distance Face Recognition Using Multiple Distance Training Images for Intelligent Surveillance System

Abstract : In this paper, PCA-based long distance face recognition algorithm applicable to the environment of intelligent video surveillance system is proposed. While the existing face recognition algorithm uses the short distance images for training images, the proposed algorithm uses face images by distance extracted from 1m to 5m for training images. Face images by distance, which are used for training images and test images, are normalized through bilinear interpolation. The proposed algorithm has improved face recognition performance by 4.8% in short distance and 16.5% in long distance so it is applicable to the intelligent video surveillance system.
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Communication dans un congrès
David Hutchison; Takeo Kanade; Madhu Sudan; Demetri Terzopoulos; Doug Tygar; Moshe Y. Vardi; Gerhard Weikum; Khabib Mustofa; Erich J. Neuhold; A Min Tjoa; Edgar Weippl; Ilsun You; Josef Kittler; Jon M. Kleinberg; Friedemann Mattern; John C. Mitchell; Moni Naor; Oscar Nierstrasz; C. Pandu Rangan; Bernhard Steffen. 1st International Conference on Information and Communication Technology (ICT-EurAsia), Mar 2013, Yogyakarta, Indonesia. Springer, Lecture Notes in Computer Science, LNCS-7804, pp.534-539, 2013, Information and Communicatiaon Technology. 〈10.1007/978-3-642-36818-9_62〉
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Hae-Min Moon, Sung Pan. The PCA-Based Long Distance Face Recognition Using Multiple Distance Training Images for Intelligent Surveillance System. David Hutchison; Takeo Kanade; Madhu Sudan; Demetri Terzopoulos; Doug Tygar; Moshe Y. Vardi; Gerhard Weikum; Khabib Mustofa; Erich J. Neuhold; A Min Tjoa; Edgar Weippl; Ilsun You; Josef Kittler; Jon M. Kleinberg; Friedemann Mattern; John C. Mitchell; Moni Naor; Oscar Nierstrasz; C. Pandu Rangan; Bernhard Steffen. 1st International Conference on Information and Communication Technology (ICT-EurAsia), Mar 2013, Yogyakarta, Indonesia. Springer, Lecture Notes in Computer Science, LNCS-7804, pp.534-539, 2013, Information and Communicatiaon Technology. 〈10.1007/978-3-642-36818-9_62〉. 〈hal-01480214〉

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