Vol.4 No.2 2011

Research paper : ARGUS: Adaptive Recognition for General Use System (N. Otsu et al.)−84−Synthesiology - English edition Vol.4 No.2 (2011) [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]Computer Vision (MVA1988), 431-435 (1988).N. Otsu: Towards flexible and intelligent vision systems – from thresholding to CHLAC, Proc. IAPR Conf. on Machine Vision Applications, Invited talk, 430-439 (2005).N. Otsu: CHLAC approach to flexible and intelligent vision systems, Proc. ECSIS and IEEE Symposium on Bio-inspired Learning and Intelligent Systems for Security (BLISS 2008), Invited talk, 23-33 (2008).D. Rumelhart, G. Hinton and R. Williams: Learning representations by back-propagating errors, Nature, 323 (9), 533-536 (1986).J. Shawe-Taylor, N. Cristianini: Kernel Methods for Pattern Analysis, Cambridge Univ. Press, Cambridge (2004).J. Mclaughlin, J. Raviv: N th-order autocorrelations in pattern recognition, Information and Control, 12, 121-142 (1968).M. Misky and S. Papert: Perceptrons, The MIT Press (1969).T. Kobayashi and N. Otsu: Action and simultaneous multiple-person identification using Cubic Higherorder Local Auto-Correlation, Proc. 17th Int. Conf. on Pattern Recognition (ICPR), 741-744 (2004).T. Kurita and N. Otsu: Face recognition method using higher order local autocorrelation and multivariate analysis, Proc. 11th ICPR, 213-216 (1992).F. Goudail, E. Lange, T. Iwamoto, K. Kyuma, N. Otsu: Face recognition system using local autocorrelations and multi-scale integration, IEEE Trans. PAMI, 18, 1024-1028 (1996).M. Lyons and S. Akamatsu: Coding facial expressions with gabor wavelets, Proc. 3rd IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG1998), 200-205 (1998).Y. Shinohara and N. Otsu: Facial expression recognition using fisher weight maps, Proc. 6th IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG2004), 499-504 (2004).T. Kobayashi and N. Otsu: A three-way auto-correlation based approach to human identification by gait, Proc.6th IEEE Int. Workshop on Visual Surveillance, 185-192(2006).T. Nanri and N.Otsu: Unsupervised abnormality detection in video surveillance, Proc. IAPR Conf. on Machine Vision Applications, 574-577 (2005).K. Iwata, et al: Cancer pathological diagnostic imaging support system using Higher-order Local Auto-Correlation feature method, Proc. ViEW2009, B-6H, 32-37 (2009) (in Japanese).H. Araki, M. Murakawa, T. Kobayashi, T. Higuchi, I. Kubota and N. Otsu: Abnormality detection in multichannel time-series data using Higher-order Local Auto-Correlation features, Journal of the IEEJ, 129 (7), 1305-1310 (2009) (in Japanese).R. Fukano, Y. Kuniyoshi, T. Otani, T. Kobayashi and N. Otsu:Acquisition of unknown object property for manipulation by a compliant multi-fingered hand, Journal of Robotics and Mechatoronics, 17 (6), 645-654 (2005).C. W. J. Granger: Investigating causal relations by econometric models and cross-spectral methods, Econometrica, 37, 424 (1969).K. Ishiguro, N. Otsu, M. Lungarella and Y. Kuniyoshi: Comparison of nonlinear granger causality extensions for low-dimensional systems, Physical Review E, 77 (3) (2008).K. Ishiguro, N. Otsu, M. Lungarella and Y. Kuniyoshi: Detecting direction of causal interactions between dynamically coupled signals, Physical Review E, 77 (2) (2008).T. Kobayashi, K. Morisaki and N. Otsu: Evaluation of image retrieval performance by using subjective impression, AuthorNobuyuki OtsuCompleted MSc course major in mathematical engineering at the Department of Mathematical Engineering and Information Physics of the University of Tokyo in March 1971. Joined the Electrotechnical Laboratory (ETL) in April of the same year. Was engaged in the research of pattern recognition theory and its application, especially feature extraction theory and image recogonition. Doctor of Engineering. Head of the Mathematical Informatics Section from April 1985, then Chief Senior Researcher in April 1990, was appointed Director of the Machine Understanding Division in April 1991. Developed the Real World Computing (RWC) project (1992–2001) and especially promoted the R&D of Real World Intelligence. Fellow of the AIST (National Institute of Advanced Industrial Science and Technology) since 2001. Held a concurrent post as Professor at the Cooperative Graduate School, University of Tsukuba from April 1992 through March 2010. From April 2001 to March 2007 also held a concurrent post as Professor at the Graduate School of Information Science and Technology of the University of Tokyo.[25][26][27][28][29]Journal of the IEICE, J91-D (4), 1025-1032 (2008) (in Japanese).Y. Morishita, T. Kobayashi, K. Morisaki and N. Otsu: A method of motion evaluation using time weights and external criteria, Technology Research Report of the IEICE, PRMU-107 (539), 371-376 (2008) (in Japanese).H. Nakayama, T. Harada, Y. Kuniyoshi and N. Otsu: High-performance image annotation and retrieval for weakly labeled images, Proc. Pacific-Rim Conf. on Multimedia, 601-610 (2008).F. Yoshikawa, T. Kobayashi, K. Watanabe and N. Otsu: Start and end point detection of weightlifting motion using CHLAC and MRA, Proc. 1st Int. Workshop on Bio-inspired Human-Machine Interfaces and Healthcare Applications, 44-50 (2010).T. Kobayashi, K. Watanabe, T. Higuchi, T. Miyajima and N. Otsu: Recognition of dynamic texture patterns using CHLAC features and linear regression, International Journal of Database Theory and Application, 2 (4), 13-26 (2009).T. Kobayashi and N. Otsu: Image feature extraction using gradient local auto-correlations, Proc. European Conf. on Computer Vision (ECCV), 346-358 (2008).


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