国際会議

国際会議
  1. Ryosuke NAKAISHI, Kazuhiko KAWAMOTO, Data Assimilation for Pedestrian Tracking Using Deep Convolutional Neural Network, In Proc. 5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, CD-ROM, 5 pages, 2017 (Beijing, China).
  2. Kazuhiko Kawamoto, Yoshiyuki Tomura, Kazushi Okamoto, Kriging-based prediction and interpolation for modeling pedestrian dynamics, Proc. Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, pp.1-4, 2017.
  3. Yuta Segawa, Kazuhiko Kawamoto, and Kazushi Okamoto, First-Person Activity Recognition by Image Classification, Proc. Int. Symposium Computational Intelligence and Industrial Applications, pp.1-6, 2016.
  4. Kazuhiko Kawamoto, Yoshiyuki Tomura, Kazushi OKAMOTO, Learning pedestrian dynamics with kriging, In Proc. 15th IEEE/ACIS International Conference on Computer and Information Science, pp.39-42, 2016
  5. Kazuhiko Kawamoto, Yoshiyuki Tomura, Kazushi Okamoto, Pedestrian-movement prediction by kriging, In Proc. 4th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, pp.94-97, 2015.
  6. Kazushi Okamoto and Kazuhiko Kawamoto, Kernel Parameter Evaluation of Convolutional Neural Networks for Omnidirectional Images, In Proc. 4th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, pp.142-145, 2015.
  7. Kazushi Okamoto, Hitoshi Asanuma, and Kazuhiko Kawamoto, A Graph Based Data Mining Method for Collaborative Learning Space in Learning Commons, Proceedings of World Automation Congress 2014, IFMIP, pp.415-420, 2014.
  8. J. Nakajima, A. Sugimoto and K. Kawamoto, Constructing a Visual Saliency Map Combined with Audio Signals, International Joint Workshop on Advanced Sensing/Visual Attention and Interaction, 2013
  9. J. Nakajima, A. Sugimoto and K. Kawamoto, Incorporating Audio Signals into Constructing a Visual Saliency Map, Proc. of the 6th Pacific-Rim Symposium on Image and Video Technology (PSIVT2013), pp.468-480(LNCS 8333,Springer), 2013.
  10. Kazuhiko Kawamoto, Hikaru Kazama, Kazushi Okamoto, Visual Localization using Voting based Image Retrieval and Particle Filtering in Indoor Scenes, the 2nd International Conference on Robot, Vision and Signal Processing, CD-ROM Proceedings, pp.1-4, 2013.
  11. Fu-Cheng Lin, Kazuhiko Kawamoto, Kazushi Okamoto, Hand Gesture Recognition using Approximate Nearest Neighbor Search, In Proc. 3nd International Workshop on Advanced Computational Intelligence and Intelligent Informatics, CD-ROM Proceedings, pp.1-5, 2013.
  12. Kazushi Okamoto, Mayu Horiuchi, Kazuhiko Kawamoto, Prediction of Information Seeking and Use Behavior in Library Based on Naive-Bayes Nearest-Neighbor,” Proc. 14th International Symposium on Advanced Intelligent Systems, CD-ROM Proceedings, pp. 1-11, 2013.
  13. H. Itoh, T. Sakai, K. Kawamoto, and A. Imiya, Global Image Registration Using Random Projection and Local Linear Method, Proc. Int. Conf. Computer Analysis of Images and Patterns, Lecture Notes in Computer Science Volume 8047, pp 564-571, 2013.
  14. M.-Y. Fan, A. Imiya, K. Kawamoto and T. Sakai, Affine Color Optical Flow Computation, Proc. Int. Conf. Computer Analysis of Images and Patterns, Lecture Notes in Computer Science Volume 8047, pp. 507-514, 2013.
  15. Y. Mochizuki, A. Imiya, K. Kawamoto, T. Sakai and A. Torii, Scale-Space Clustering on the Sphere, Proc. Int. Conf. Computer Analysis of Images and Patterns, Lecture Notes in Computer Science Volume 8047, 417-424, 2013.
  16. H. Itoh, T. Sakai, K. Kawamoto and A. Imiya, Dimension-Reduction Methods for Image Pattern Recognition, Proc. Int. Workshop on Similarity-Based Pattern Analysis and Recognition, Lecture Notes in Computer Science Volume 7953, 2013, pp 26-42, 2013.
  17. H. Itoh, T. Sakai, K. Kawamoto, and A. Imiya, Topology-Preserving Dimension-Reduction Methods for Image Pattern Recognition, Proc. Scandinavian Conference on Image Analysis, Lecture Notes in Computer Science, vol. 7944, pp 195-204, 2013.
  18. Kazuhiko Kawamoto, Tatsuya Yonekawa, Kazushi Okamoto, Visual vehicle tracking based on an appearance generative model, In Proc. Joint 6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), CD-ROM Proceedings W3-44-6, 2012 (Kobe, Japan).
  19. Kazuhiko Kawamoto, Grid-based Rao-Blackwellisation of Particle Filtering for Switching Observation Models, In Proc, 15th International Conference on Information Fusion, pp.143-148, 2012.
  20. Kazuhiko Kawamoto, Particle Filtering with Switching Observation Models, In Proc. 2nd International Workshop on Advanced Computational Intelligence and Intelligent Informatics, CD-ROM Proceedings SS4-4, 2011.
  21. Kazushi Okamoto, Kazuhiko Kawamoto, Fangyan Dong, Sinichi Yoshida, Kaoru Hirota, Design Criteria of Querying Interface for Visual Key Image Retrieval on Mobile Devices, In Proc. 2nd International Workshop on Advanced Computational Intelligence and Intelligent Informatics, CD-ROM Proceedings SS6-3, 2011.
  22. A. Hagiwara, A. Sugimoto, and K. Kawamoto, Saliency Based Image Editing for Guiding Visual Attention, 1st International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction. (PETMEI2011), 2011.
  23. R. Fukuoka, K. Kawamoto, Simultaneous Tracking and Recognition of Hand Gesture using Particle Filter, International Conference on Imaging and Printing Technologies (ICIPT2011), pp.231-233, 2011.
  24. K. Kawamoto, A Particle Filter with Optimal Discrete Density for Hybrid State Estimation, In Proc. 10th International Symposium on Communications and Information Technologies (ISCIT2011), CD-ROM Proc., 2010.
  25. K.Kawamoto, On Particle Filtering for Hybrid State Space Models, In Proc. of Joint 5th Int. Conf. on Soft Computing and Intelligent Systems and 11th Int. Symp. on Advanced Intelligent Systems (SCIS&ISIS2010), CD-ROM proceeding SU-D1-1, 2010.
  26. K. Kawamoto, Learning a Social Force Model for Pedestrian Motion Analysis from Image Sequences, In Proc. 4rd International Symposium on Computational Intelligence and Industrial Applications(ISCIIA2011), pp.3-10, 2010.
  27. K. Kawamoto, A Data Assimilation Method for Estimating the Parameters of a Social Force Model for Pedestrian Motion Analysis, In Proc. 7th International Forum on Multimedia and Image Processing (IFMIP) in World Automation Congress (WAC), CD-ROM proceeding, 2010.
  28. K. Kawamoto, Affine Deformable Object Tracking in Videos by Particle Filtering, In Proc. International Workshop on Advanced Computational Intelligence and Intelligent Informatics, CD-ROM Proceedings PM-6, 2009.
  29. Ikoma Norikazu, Tanaka Yuhei, Inokuchi Yousuke, Miyasita Kazuhira, Kawamoto Kazuhiko, Nishida Takeshi, “Car driver’s body motion estimation for safety driving using particle filters”, in Proc. International Workshop on Advanced Computational Intelligence and Intelligent Informatics, CD-ROM Proceedings PM-4, 2009.
  30. K. Kawamoto, Stochastic Time Series Model for Shared Hidden States and Its Applications, 3rd International Symposium on Computational Intelligence and Industrial Applications(ISCIIA’08), pp.298-305, 2008.
  31. K. Kawamoto, Adaptive Sampling for Bayesian Visual Tracking, In Proc. 6th International Forum on Multimedia and Image Processing (IFMIP) in World Automation Congress (WAC), CD-ROM proceeding, 2008.
  32. K. Kawamoto, Sequential Bayesian Estimation of Global Motion Governing a Group of Points from Local Point Tracking, In Proc. Joint 4rd International Conference on Soft Computing and Intelligent Systems and 8th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), pp.1731-1736, 2008 (Nagoya, Japan).
  33. K.Kawamoto, Optical Flow-Driven Motion Model with Automatic Variance Adjustment for Adaptive Tracking, in Proc. the 8th Asian Conference on Computer Vision (ACCV2007), Lecture Notes in Computer Science, pp.555-564, Springer-Verlag, Berlin Heidelberg, 2007 (Tokyo, Japan).
  34. N.Ikoma, K.Matsuda, K.Akahoshi, K.Kawamoto, H.Kawano, and H.Maeda, A new concept of drive recording system by estimating human intention using particle filters, in Proc. the Second International Conference on Innovative Computing, Information and Control (ICICIC2007), CD-ROM(C11-08.pdf), 2007 (Kumamoto, Japan).
  35. K. Kawamoto, Optical Flow based Motion Model for Visual Tracking, In Proc. Int. Symp. on Advanced Intelligent Systems, pp.324-329, 2007 (Sokcho, Korea).
  36. K. Kawamoto, Guided Importance Sampling based Particle Filtering for Visual Tracking, In Proc. of 1st IEEE Pacific-Rim Symposium on Image and Video Technology (PSIVT’06), Lecture Notes in Computer Science, pp.158-167, Springer-Verlag, Berlin Heidelberg, 2006 (Hsinchu, Taiwan).
  37. K. Kawamoto, Particle filter based switching algorithm for rapid and smooth motion estimations in video sequences, 2nd International Symposium on Computational Intelligence and Industrial Applications (ISCIIA’06), CD-ROM proceeding, TMIA-2, 2006 (Guangzhou,China)
  38. K. Kawamoto, On the Construction of Proposal Distributions based on Linear Estimation for Visual Tracking, In Proc. Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), pp.2047-2052, 2006 (Tokyo, Japan)
  39. K. Kawamoto, Affine Modeling of Targets in Video Sequences by Particle Filters, In Proc. 5th International Forum on Multimedia and Image Processing (IFMIP) in World Automation Congress (WAC), 2006 (Budabest, Hungary).
  40. M. R. Widyanto, B. Kusumoputro, M. S. Hannachi, K. Kawamoto, and K. Hirota, Unknown Order Category Classification using F-SONIA, In Proc. 2nd Int. Symp. on Computational Intelligence and Intelligence Informatics, 2005 (Hammamet, Tunisia).
  41. K. Kawamoto, Template Matching of Appearance Models with Different Geometric Transformations using Particle Filtering, In Proc. Int. Symp. on Advanced Intelligent Systems, pp.691-694, 2005 (Yeosu, Korea).
  42. M. R. Widyanto, M. Watanabe, K. Kawamoto, B. Kusumoputro, and K. Hirota, SONIA-based Decision Neural Network and Its Application to Restaurant Work Assigment, In Proc. Int. Symp. on Advanced Intelligent Systems, pp.129-134, 2005 (Yeosu, Korea).
  43. K. Kawamoto, Appearance-Based Visual Tracking by Paticle Filters, In Proc. 1st Daedeok Int. Conf. on Human Centered Advance Technology, pp.43-46, 2005 (Daejeon, Korea).
  44. M. R. Widyanto, M. B. Utomo, K. Kawamoto, B. Kusumoputro, and K. Hirota, SONIA-Ultrasonic Technology for Gas Holdup Measurement of a Bubble Column, In Proc. 1st Daedeok Int. Conf. on Human Centered Advance Technology, pp.33-38, 2005 (Daejeon, Korea).
  45. M. R. Widyanto, M. Watanabe, K. Kawamoto, B. Kusumoputro, and K. Hirota, Agent-based Decision Maker Preference Modeling Using SONIA-DNN for Restaurant Work Assignment and Scheduling Problem, In Proc. Int. Workshop on Agent-based Approaches in Economics and Social Complex Systems, 2005 (Tokyo, Japan).
  46. K. Kawamoto, K. Hirota, and N. Wakami, Efficient and Robust Curve Tracker based on Particle Filtering in Digital Space, In Proc. Int. Symp. on Computational Intelligence and Industrial Applications, CD-ROM proceeding, TA2C-4, 2004 (Haikou, China).
  47. H. Takahashi, K. Kawamoto, Y. Natori, N. Tanzawa, and K. Hirota, PREDICTION OF OBJECTS REQUIRING DRIVERS’ ATTENTION BASED ON CAMERA IMAGES OF MOVING OBJECTS, In Proc. Int. Symp. on Computational Intelligence and Industrial Applications, CD-ROM proceeding, WM2A-1, 2004 (Haikou, China).
  48. S. Morishige, K. Kawamoto, and K. Hirota, Voting-Based Gene Selection for Cancer Classification, In Proc. Int. Symp. on Computational Intelligence and Industrial Applications, CD-ROM proceeding, WM1B-4, 2004 (Haikou, China).
  49. M. R. Widyanto, B. Kusumoputro, K. Kawamoto, and K. Hirota, Analysis of Fuzzy Local Approximation NN on Uncertainty Decision of Frequency Measurements, In Proc. Int. Symp. on Computational Intelligence and Industrial Applications, CD-ROM proceeding, TM1A-2, 2004 (Haikou, China).
  50. K. Kawamoto and K. Hirota, Curve Tracking by Hypothesis Propagation and Voting-Based Verification, In Proc. of 10th International Workshop on Combinatorial Image Analysis, Lecture Notes in Computer Science, pp.151-163, Springer-Verlag, Berlin Heidelberg, 2004 (Auckland, New Zealand).
  51. K. Kawamoto and K. Hirota, Motion-and-shape integration for efficient boundary detection of moving objects, In Proc. of AFSS 2004 Int. Conf. on Fuzzy Systems, pp.2-6, 2004 (Hanoi, Vietnam).
  52. K. Kawamoto and K. Hirota, Voting-based visual tracking with temporal peak propagation, In Proc. of Joint 2nd Int. Conf. on Soft Computing and Intelligent Systems and 3rd Int. Symp. on Advanced Intelligent Systems (SCIS&ISIS2004), CD-ROM proceeding, THP-4-2, 2004 (Yokohama, Japan).
  53. M. R. Widyanto, K. Kawamoto, and K. Hirota, Class Majority in Designing Fuzzy Local Approximation NNs for Overlapping Data in Pattern Classification, In Proc. of Joint 2nd Int. Conf. on Soft Computing and Intelligent Systems and 3rd Int. Symp. on Advanced Intelligent Systems (SCIS&ISIS2004), CD-ROM proceeding, THP-6-2, 2004 (Yokohama, Japan).
  54. E. M. Iyoda, T. Shibata, H. Nobuhara, Y. Hatakeyama, K. Kawamoto, and K. Hirota, Image Compression and Reconstruction Using Pai-t Sigma Neural Networks with Hybrid Evolutionary-Local Learning, In Proc. of Joint 2nd Int. Conf. on Soft Computing and Intelligent Systems and 3rd Int. Symp. on Advanced Intelligent Systems (SCIS&ISIS2004), CD-ROM proceeding, THE-4-6, 2004 (Yokohama, Japan).
  55. K. Urata, S. Yoshida, H. Nobuhara, K. Kawamoto, Y. Hatakeyama, T. Kaino, and K. Hirota, A Credit Risk Measuring Model Using Logit Model and Choquet Integral, In Proc. of Joint 2nd Int. Conf. on Soft Computing and Intelligent Systems and 3rd Int. Symp. on Advanced Intelligent Systems (SCIS&ISIS2004), CD-ROM proceeding, FP-7-1, 2004 (Yokohama, Japan).
  56. Garcia Ruiz Ernest, Hajime Nobuhara, Kazuhiko Kawamoto, Shinichi Yoshida, Kaoru Hirota. Para Atrial Fibrillation Prediction based on Evolutionary ECG Feature Space Transformation, 30th SICE Symposium on Intelligent Systems, pp. 261-266, 2003.
  57. K. Kawamoto, A. Imiya, K. Hirota, Motion-Based Background Subtraction without Geometric Computation in Dynamic Scenes In Proc. of the 4rd Int. Symp. on Advanced Intelligent Systems (ISIS2003), pp.559-562, 2003 (Jeju, Korea).
  58. M. R. Widyanto, B. Kusumoputro, H. Nobuhara, K. Kawamoto, S. Yoshida, and K. Hirota, Improvement of three mixture fragrances recognition using fuzzy similarity based self-organized network inspired by immune algorithm, In Proc. of the 4th Int. Symp. on Advanced Intelligent Systems (ISIS2003), 2003 (Jeju, Korea).
  59. E. M. Iyoda, H. Nobuhara, K. Kawamoto, S. Yoshida, K. Hirota, Sigma-Pi_t Cascaded Hybrid Neural Network and its Application to the Spirals and Sonar Pattern Classification Problem, In Proc. of the 4rd Int. Symp. on Advanced Intelligent Systems (ISIS2003), pp.158-161, 2003 (Jeju, Korea).
  60. Y. Hatakeyama, H. Nobuhara, K. Kawamoto, K. Hirota, Correction Vectors for Dynamic Color Images under Multiple Luminance Conditions, In Proc. of the 4rd Int. Symp. on Advanced Intelligent Systems (ISIS2003), pp.567-570, 2003 (Jeju, Korea).
  61. Makoto Watanabe, Hajime Nobuhara, Kazuhiko Kawamoto, Shinich Yoshida, Kaoru Hirota. A Quasi-optimal Restaurant WorkScheduling based on Genetic Algorithm with Fuzzy Logic, 4-th Int. Symp. on Advanced Intelligent Systems (ISIS2003), pp. 517-520, 2003 (Jeju, Korea).
  62. K. Kawamoto, N. Ohnishi, D. Yamada, A. Imiya, R. Klette, K. Hirota, Motion-Based Template Matching for Obstacle Detection, In Proc. of Int. Conf. on Computational Cybernetics (ICCC), CD-ROM proceeding, NAMA-5, 2003 (Siofok, Hungary).
  63. K. Kawamoto, A. Imiya, K. Hirota, Shape recovery from an unorganized image sequence, In Proc. of the 3rd Int. Conf. on Machine Learning and Data Mining in Pattern Recognition (MLDM), Lecture Notes in Artificial Intelligence, vol.2734, pp.389-399, Springer-Verlag, Berlin Heidelberg, 2003 (Leipzig, Germany).
  64. K. Hirota, S. Yoshida, H. Nobuhara, K. Kawamoto, and N. Wakami, Internal State Estimation Using Multimedia Information, In Proc. of the Int. Sym. on Computational Intelligence and Intelligent Informatics (ISCIII), pp.1-7, 2003 (Nabeul, Tunisia).
  65. K. Hirota, H. Nobuhara, K. Kawamoto, and S. Yoshida, Multidedia Nondestructive Measurement Based on Soft Computing Technology, In Proc. of the 1st Int. Conf. on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), pp.17-21, 2003 (Manila, Philippines).
  66. K. Kawamoto, A. Imiya, and K. Hirota, Voting-based Approach to Nullspace Search for Correspondence Matching and Shape Recovery, In Proc. of Joint 1st Int. Conf. on Soft Computing and Intelligent Systems and 3rd Int. Symp. on Advanced Intelligent Systems (SCIS&ISIS2002), CD-ROM proceeding, 22P4-3, 2002 (Tsukuba, Japan).
  67. R. Widyanto, Megawati, K. Kawamoto, K. Hirota, Clustering Analysis Using A Self-organized Network inspired by Immune Algorithm, In Proc. of IASTED Int. Conf. on Artificial and Computational Intelligence, 2002, (Tokyo, Japan).
  68. Imiya, K. Kawamoto, Mathematical aspects of shape reconstruction from an image sequence, Proceedings of First International Symposium on 3D Data Processing Visualization and Transmission, pp. 632–635, 2002.
  69. K. Kawamoto and A. Imiya, Random Sampling and Voting Method for Three-Dimensional Reconstruction, In Proc. of the International Workshop on Robot Vision, Lecture Notes in Computer Science, vol.1998, pp.193-200, Springer-Verlag, Berlin Heidelberg, 2001 (Auckland, New Zealand).
  70. A. Imiya and K. Kawamoto, Shape Reconstruction from an Image Sequence, In Proc. of the 4th International Workshop on Visual Forms (IWVF4), Lecture Notes in Computer Science, vol.2059, pp.677-686, Springer-Verlag, Berlin Heidelberg, 2001.
  71. A. Imiya and K. Kawamoto, A Dynamics of the Hough Transform and Artificial Neural Networks, In Proc. of the 1st International Workshop on Machine Learning and Data Mining in Pattern Recognition (MLDM), Lecture Notes in Artificial Intelligence, vol.1715, pp.36-50, Springer-Verlag, Berlin Heidelberg, 1999.
  72. I.Fermin, A. Imiya and K. Kawamoto, Randomized method for computer vision, In Proc. of 7th International Conference on Artificial Intelligence and Information-Control Systems of Robotics, World Scientific, pp.47-58, 1997 (Singapore).
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