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 英文学術論文
[E33] M. A. A. Aljazaerly, Y. Makihara, D. Muramatsu and Y. Yagi, Batch Hard Contrastive Loss and Its Application to Cross-View Gait Recognition, IEEE Access, Vol. 11, pp. 31177-31187, 2023 [Open Access][bibTex].
[E32] S. Kikkawa, F. Okura, D. Muramatsu, Y. Yagi, and H. Saito, Accuracy Evaluation and Prediction of Single-Image Camera Calibration, IEEE Access, Vol. 11, pp. 19312-19323, 2023 [Open Access] [bibTex].
[E31] A. Shehataab, Y. Makihara D. Muramatsuc Md.A.R. Ahad, and Y. Yagi, Annotator-dependent uncertainty-aware estimation of gait relative attributes, Pattern Recognition, Vol.136, No. 109197, pp. 1-13, April. 2023 [Open Access]
[E30] R. Hasegawa A. Uchiyama, F. Okura, D. Muramatsu, I. Ogasawara, H. Takahata, K. Nakata, T. Higashino, Close-Contact Detection Using a Single Camera for Sports Considering Occlusion, IEEE Access, Vol.10, pp.15457-15468, Jan. 2022 [Open Access]
[E29] R. Liao, K. Moriwaki, Y. Makihara, D. Muramatsu, N. Takemura, and Y. Yagi, Health Indicator Estimation by Video-based Gait Analysis, IEICE Trans. on Information and Systems, Vol. E104-D, No. 10, pp. 1678-1690, Oct. 2021
[E28] K. Aoki, H. Nishikawa, Y. Makihara, D. Muramatsu, N. Takemura, Y. Yagi, Physical Fatigue Detection from Gait Cycles via a Multi-task Recurrent Neural Network, IEEE Access, Vol.9, pp. 127565-127575, Sep. 2021[Open Access]
[E27] M. Iwamura, S. Mori, K. Nakamura, T. Tanoue, Y. Utsumi, Y. Makihara, D. Muramatsu, K. Kise, Y. Yagi, Individuality-preserving Silhouette Extraction for Gait Recognition and Its Speedup, IEICE Trans. on Information and Systems, Vol. E104-D, No. 7, pp.992-1001, Jul. 2021.
[E26]Chi Xu, Atsuya Sakata, Yasushi Makihara, Noriko Takemura, Daigo Muramatsu, Yasushi Yagi, Jianfeng Lu, Uncertainty-aware Gait-based Age Estimation and Its Applications, Trans. on Biometrics, Behavior, and Identity Science, Early Access, 2021 [Open Access, bib].
[E25] Y. Zhang, Y. Makihara, D. Muramatsu, J. Zhang, L. Niu, L. Zhang, Y. Yagi, Learn to Walk Across Ages: Motion Augmented Multi-age Group Gait Video Translation, IEEE Access, Vol. 9, pp.40550-40559, February, 2020 [Open Access, bib].
[E24] Md A.R. Ahad, Thanh T. Ngo Anindya D. Antar, Masud Ahmed, Tahera Hossain, Daigo Muramatsu, Yasushi Makihara,Sozo Inoue, Yasushi Yagi, Wearable Sensor-Based Gait Analysis for Age and Gender Estimation, Sonsors, Vol. 20, No.8, 2424, April, 2020 [Open Access, bib].
[E23] Md. Zasim Uddin, Daigo Muramatsu, Noriko Takemura, Md Atiqur Rahman Ahad, Yasushi, Yag, Spatio-temporal silhouette sequence reconstruction for gait recognition against occlusion, IPSJ Transactions on Computer Vision and Applications, Vol. 11, No.9, pp.1-18, November, 2019.
[E22] Ruochen Liao, Yasushi Makihara, Daigo Muramatsu, Ikuhisa Mitsugami, Yasushi Yagi, Kenji Yoshiyama, Hiroaki Kazui, Masatoshi Takeda, A Video-Based Gait Disturbance Assessment Tool for Diagnosing Idiopathic Normal Pressure Hydrocephalus, Trans. on Electrical and Electronics Engineering, Vol. 15, No. 3, pp.4330441, March, 2019.
[E21]Fumio Okura, Saya Ikuma, Yasushi Makihara, Daigo Muramatsu, Ken Nakada, Yasushi Yagi, RGB-D video-based individual identification of dairy cows using gait and texture analyses, Computers and Electronics in Agriculture, Vol. 165, October, 2019.
[E20] N. Takemura, Y. Makihara, D. Muramatsu, T. Echigo, Y. Yagi, On Input/Output Architectures for Convolutional Neural Network-Based Cross-View Gait Recognition, IEEE Trans. on Circuits and Systems for Video Technology, Vol.29, No.9, pp.2708-2719, Sep. 2019.(In press, Early access from 2018)
[E19] X. Li, Y. Makihara, C. Xu, D. Muramatsu, Y. Yagi, M. Re, Gait Energy Response Functions for Gait Recognition against Various Clothing and Carrying Status, Applied Science, Vol.8 No.1380, pp.1-22, Aug. 2018.
[E18] Md. Zasim Uddin, Trung Thanh Ngo, Yasushi Makihara, Noriko Takemura, Xiang Li, Daigo Muramatsu, Yasushi Yagi, The OU-ISIR Large Population Gait Database with Real-Life Carried Object and its performance evaluation, IPSJ Transactions on Computer Vision and Applications, Vol.10, No.5, pp.1-11, May, 2018.
[E17] N. Takemura, Y. Makihara, D. Muramatsu, T. Echigo, Y. Yagi, Multi-view Large Population Gait Dataset and Its Performance Evaluation for Cross-view Gait Recognition, IPSJ Transactions on Computer Vision and Applications, Vol. 10, No.4, pp.1-14, Feb. 2018.
[E16] M.Z. Uddin, D. Muramatsu, T. Kimura, Y. Makihara, Y. Yagi, MultiQ: Single sensor-based multi-quality multi-modal large-scale biometric score database and its performance evaluation, IPSJ Transactions on Computer Vision and Applications, vol.9, no.18, pp.1-25, Jul., 2017. [html]
[E15] Daigo Muramatsu, Yasushi Makihara, and Yasushi Yagi, View Transformation Model Incorporating Quality Measures for Cross-view Gait Recognition, IEEE Trans. Cybernetics, Vol.46, No.7, pp1602-1615, 2016
[E14] Y. Makihara, T. Tanoue, D. Muramatsu, Y. Yagi, S. Mori, Y. Utsumi, M. Iwamura, and K. Kise, Individuality-preserving Silhouette Extraction for Gait Recognition, IPSJ Trans. on Computer Vision and Applications, Vol. 7, pp.74-78, Jul. 2015
[E13] Daigo Muramatsu, Yasushi Makihara, and Yasushi Yagi, Cross-View Gait Recognition by Fusion of Multiple Transformation Consistency Measures, IET, Biometrics, Vol.4, Issue 2, pp.62-73, 2015.
[E12] Daigo Muramatsu, Akira Shiraishi, Yasushi Makihara, Md. Zasim Uddin, and Yasushi Yagi, Gait-based Person Recognition Using Arbitrary View Transformation Model, IEEE Trans. Image Processing, Vol.24, Issue 1, pp140-154, 2015
[E11] T. Kimura, Y. Makihara, D. Muramatsu, Y. Yagi, Quality-dependent Score-level Fusion of Face, Gait, and the Height Biometrics, IPSJ Trans. on Computer Vision and Applications, Vol.6, pp.543-547, Jul. 2014.
[E10] Haruyuki Iwama, Daigo Muramatsu, Yasushi Makihara, and Yasushi Yagi, Gait Verification System for Criminal Investigation, IPSJ Transactions on Computer Vision and Applications, Vol.5, pp.163-175, 2013
[E9] Daigo Muramatsu, Yasushi Makihara, and Yasushi Yagi, Gait Recognition by Fusing Direct Cross-view Matching Scores for Criminal Investigation, IPSJ Transactions on Computer Vision and Applications, Vol.5, pp.35-39, 2013
[E8] N. Houmani, A. Mayoue, S. Garcia-Salicetti, B. Dorizzi, M.I. Khalil,M.N. Moustafa,H. Abbas, D. Muramatsu, B. Yanikoglu, A. Kholmatov,M. Martinez-Diaz, J. Fierrez, J. Ortega-Garcia, J. Roure Alcobe, J. Fabregas, M. Faundez-Zanuy, J.M. Pascual-Gaspar,V. Carednoso-Payo, C. Vivaracho-Pascual, BioSecure signature evaluation campaign (BSEC'2009): evaluating online signature algorithms depending on the quality of signatures, Pattern Recognition, Vol.45, No. 3, pp.993-1003, 2012
[E7] D. Muramatsu, M. Inuma, J. Shikata, and A. Otsuka, Enhanced Cancelable Biometrics for Online Signature Verification, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Vol.E93-A No.6 pp.1254-1259, 2010
[E6] K. Yasuda, D. Muramatsu, S. Shirato, and T. Matsumoto, Visual-Based Online Signature Verification Using Features Extracted From Video, Journal of Network and Computer Applications, Vol.33, pp.333-341, 2010
[E5] D. Muramatsu, Hill-Climbing Attacks and Robust Online Signature Verification Algorithm against Hill-Climbing Attacks, IEICE Transactions, Vol.E93-D, No.3, pp.448-457, Mar. 2010
[E4] K. Koisih, S. Kinoshita, D. Muramatsu, and T. Matsumoto, Online Signature Verification Based on User-Generic Fusion Model with Markov Chain Monte Carlo, Taking into Account User Individuality, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.13,No.4, pp.447-456, 2009
[E3] T. Kaburagi, D. Muramatsu, and T. Matsumoto, Transmembrane Structure Predictions with Hydropathy Index/Charge Two-Dimensional Trajectories of Stochastic Dynamical Systems, Journal of Bioinformatics and Computational Biology, Vol.5, issue 3, pp.669-692, 2007
[E2] D. Muramatsu, M. Kondo, M. Sasaki, S. Tachibana and T. Matsumoto, A Markov Chain Monte Carlo Algorithm for Bayesian Dynamic Signature Verification, IEEE Trans. Information Forensic and Security, Vol.1, No.1, pp.22-34, 2006
[E1] K. Hadidi, M. Sasaki, T. Watanabe, D. Muramatsu and T. Matsumoto, A Highly Linear Open-Loop Full CMOS High-speed Sample-and-Hold Stage, IEICE Transaction Fundamentals, Vol.E83-A, No.2, pp.261-266, February. 2000
 和文学術論文
[J16] 山野 広大,村松 大吾,武村 紀子,八木 康史,撮影角度抑制学習を用いた歩容に基づく年齢推定,電子情報通信学会論文誌Vol. J105-A, No. 12, pp.146-155, Dec. 2022
[J15] 鈴木 温之, 村松 大吾, 槇原 靖, 柏本 雄士朗, 八木 康史, 輝度値共起ヒストグラムを用いた荷物所持に頑健な歩容認証, 電子情報通信学会論文誌A, vol. J100-A, No. 12, pp.444-454, Dec. 2017
[J14] 武村紀子,白神康平,槇原靖,村松大吾,越後富夫,八木康史,畳み込みニューラルネットワークを用いた視点変化に頑健な歩容認証,電子情報通信学会論文誌 Vol.J99-A, No.12, pp.440-451, 2016
[J13] 木村卓弘,槇原靖,村松大吾,八木康史,複数品質尺度・複数モダリティの生体認証スコアデータベースの構築とスコアレベル統合手法の性能評価,バイオメトリクス小特集,Vol. J98-A, No.12, pp. 646-658, 2015
[J12] 木村卓弘,村松大吾,槇原靖,八木康史,歩容・頭部・身長を用いたマルチモーダル鑑定システム,電子上場通信学会論文誌,バイオメトリクス小特集,Vol. J98-A, No. 12, pp.659-663, 2015
[J11] 村松大吾,岩間晴之,木村卓弘,槇原靖,八木康史,一歩行映像から取得される複数特徴を用いた個人認証,電子情報通信学会論文誌,バイオメトリクス小特集号,Vol.J97-A, No.12, pp. 735--748, 2014.
[J10] 村松大吾,槇原靖,八木康史,中間方向への方向変換モデルを用いた歩容認証,電子情報通信学会論文誌,バイオメトリクス小特集号,Vol.J97-A, No. 12, pp.749--752, 2014
[J9] 赤沢 史嗣,佐藤優太,村松大吾,松本隆,中村厚,宗田孝之,スペクトル分解能0.93 nm で得られる分光画像の性質とその生体認証応用可能性,電子情報通信学会論文誌,Vol.J97-A, No.10, pp.665-668, 2014
[J8] 村松大吾,安田久美子,松本隆,八木康史,署名データ補正とスコア統合によるカメラに基づくオンライン署名認証の高精度化,電子情報通信学会論文誌,Vol.96-A, No.12, pp.780-789, 2013
[J7] 橋本侑樹,村松大吾,小方博之,替え玉防止に向けたペン持ち方認証法におけるなりすまし耐性の強化,電子情報通信学会論文誌,Vol.96-A, No.12, pp.769-779, 2013
[J6] 村松大吾,橋本侑樹,小方博之,カメラを用いて取得したペン持ち方特徴によるバイオメトリック筆者認証,画像電子学会誌,Vol.42, No.1, pp.47-55, 2013
[J5] 上條秀一,宮島雄一,松井淳,中田洋平,村松大吾,松本隆,背景を考慮したCross Entropyによる高速な複数物体追跡,画像電子学会誌, 第39巻,第5号,pp.571-579, 2010
[J4] 村松大吾,阿部貢士,堀内翔,小方博之,ペン持ち方情報を用いたバイオメトリック個人認証,電子情報通信学会論文誌, J92-A, No.5, pp.392-396, May. 2009
[J3] 村松大吾,厳 維娜,松本隆,ヒルクライミング法を用いた攻撃に強いオンライン署名認証アルゴリズム,電子情報通信学会論文誌 Vol.J91-A, No.10, pp.983-988, Oct. 2008
[J2] 村松大吾,加藤雄大,松本隆,モンテカルロ法を用いたオンライン署名認証,ヒューマンインターフェース学会論文誌,Vol.9, No.2, pp.191-200, 2007
[J1] 村松大吾,本郷保範,松本隆,ユーザ共通Fusionモデルを用いたオンライン署名認証,電子情報通信学会論文誌,Vol.J90-D No.2, pp.450-459, 2007
 著書
[2] O. Henniger, D. Muramatsu, T. Matsumoto, I. Yoshimura, M. Yoshimura, Signature Recognition, Overview, in Encyclopedia of Biometrics, Stan Z. Li (ed), Springer Science+Business Media, LLC, New York, 2014
[1] O. Henniger, D. Muramatsu, T. Matsumoto, I. Yoshimura, M. Yoshimura, Signature Recognition, in Encyclopedia of Biometrics, Stan Z. Li (ed), Springer Science+Business Media, LLC, New York, pp.1196-1205, 2009

 解説・総説・紀要等
[16] 槇原靖,村松大吾,八木康史,歩容認証とその科学捜査への応用, IEICE Fundamentaks Review, Vol. 14, No. 4 pp.318-328, Arp., 2021.
[15] 村松大吾,画像に基づく歩容解析-個人認証及び属性推定-,成蹊大学理工学研究報告,Vol. 57,No. 1・2, pp. 7-12, Dec., 2020.
[14] 村松大吾,槇原靖,八木康史,歩き方から個人を識別する光技術,光学,Vol. 48, No. 8, 2019
[13] 村松大吾,山本奈津子,槇原靖,第1部モダリティ別技術動向,国会図書館生体認証技術の動向と活用:科学技術に関する調査プロジ ェクト(Current Trends in Biometrics),Vol. 2018,No. 35, pp.1-35, Mar., 2019.
[12] 村松大吾,丹羽真隆,槇原靖,八木康史,大学キャンパスにおける実験用カメラを用いた人物行動映像取得,画像ラボ,Vol. 29, No. 3, pp, Mar. 2018
[11] 武村紀子, 白神康平, 槇原靖, 村松大吾, 越後富夫, 八木康史, 深層学習による高精度歩容認証, 画像ラボ, Vol. 29, No. 1, pp. 40-48, Jan. 2018
[10] 村松大吾, 槇原靖, 八木康史, 実環境下における映像に基づく人物行動解析技術実現に向けて -大阪大学における人物映像データ取得の取組み-, IEICE Fundamentals Review, Vol. 11, No. 2, pp. 93-99, Oct. 2017.
[9] 村松大吾, 槇原靖, 八木康史, 歩行映像解析システム, 映像情報メディア学会誌, Vol. 70, No. 5, pp. 10-13, Sep. 2016
[8] 槇原靖, 大倉史生, 満上育久, 丹羽真隆, 村松大吾, 八木康史, 大規模歩行映像データベースの構築に向けて, バイオメカニズム学会誌, Vol. 40, No. 3, pp. 37-42, Aug. 2016
[7] 槇原 靖,木村 卓弘,村松 大吾,八木 康史,防犯カメラ映像の品質を考慮した歩容・頭部・身長による個人認証, 画像ラボ,Vol. 26, No. 3, pp.37-42, Mar. 2015
[6] 村松大吾,槇原靖,岩間春之,八木康史,歩行者認証におけるマルチバイオメトリクス,月刊 自動認識,Vol.27, No.7, pp.21--25,2014
[5] Daigo Muramatsu, Yasushi Makihara, and Yasushi Yagi, Cross-View Gait Recognition Using View Transformation Framework, Josai Mathematical Monographs, Vol.7, pp.3-13, 2014
[4] 槇原靖,村松大吾,岩間晴之,八木康史,歩容鑑定,画像ラボ,Vol.24, No.11, pp.28-32, 2013
[3] 槇原靖,岩間晴之、村松大吾,八木靖,歩容鑑定システム,O Plus E,Vol.35, No.6, pp.599-603, 2013
[2] 村松大吾,カメラを用いたオンライン署名認証 -署名データ補正による高精度化-,成蹊大学理工学研究報告,第47巻,第2号,pp.65-70, 2010
[1]村松大吾,松本隆,ユーザ共通Fusionモデルを用いたオンライン署名認証,画像ラボ,Vol.18, No.10, pp.7-11, 2007
 国際会議論文(査読有)
[58] E. Makishima, F. Shinmura, D. Muramatsu, Cyclist Recognition from a Silhouette Set, Proc. BIOSIG2023, 2023.
[57] D. Muramatsu, K. Moriwaki, Y. Maruya, N. Takemura, Y. Yagi, Incorporation of Extra Pseudo Labels for CNN-based Gait Recognition. Proc. BIOSIG 2022, pp. 213-220, Sep. 2022 [bibTex].
[56] Y. Hayashi, A. Shehata, Y. Makihara, D. Muramatsu,Y. Yagi, Deep Gait Relative Attributeusing a Signed Quadratic Contrastive Loss, In Proc. of the Int. Conf. Pattern Recognition (ICPR2020), Jan., 2021.
[55] A. Sakata, Y. Makihara, N. Takemura, D. Muramatsu, Y. Yagi, How Confident Are You in Your Estimate of a Human Age? Uncertainty-aware Gait-based Age Estimation by Label Distribution Learning, in Proc. of the 4th Int. Joint Conf. on Biometrics (IJCB 2020), Sep., 2020.
[54] Allam Shehata, Yuta Hayashi, Yasushi Makiahra, Daigo Muramatsu and Yasushi, YagiDoes My Gait Look Nice? Human Perception-based Gait Relative Attributes Estimation by Dense Trajectory Analysis, In Proc. The 5th Asian Conference on Pattern Recognition (ACPR2019), Nov., 2019.
[53] Y. Makihara, A. Suzuki, D. Muramatsu, X. Li, and Y. Yagi, Joint Intensity and Spatial Metric Learning for Robust Gait Recognition, In Proc. of the 30th IEEE Conf. on Computer Vision and Pattern recognition (CVPR 2017), Jul., 2017,
[52] H. El-Alfy, D. Muramatsu, Y. Teranishi, N. Nishinaga, Y. Makihara, Y. Yagi, A Visual Surveillance System for Person Re-identification, In Proc. of the Int. Conf. on Quality Control by Artificial Vision (QCAV2017), May, 2017 (Accepted)
[51]M. Hasan, Y. Makihara, D. Muramatsu, and Y. Yagi, Gait Gate: An Online Walk-through Multimodal Biometric Verification System using a Single RGB-D Sensor, Proc. of the Workshop on Human Identification for Surveillance (HIS): Methods & Applications, Nov., 2016
[50]X. Li, Y. Makihara, C. Xu, D. Muramatsu, Y. Yagi, M. Ren, Gait Energy Response Function for Clothing-invariant Gait Recognition, In Proc. of the 13th Asian Conf. on Computer Vision (ACCV2016), Nov., 2016
[49] K. Shiraga, Y. Makihara, D. Muramatsu, T. Echigo, Y. Yagi, GEINet: View-Invariant Gait Recognition Using a Convolutional Neural Network, In Proc. of the 8th IAPR Int. Conf. on Biometrics (ICB 2016), pp.1-8, Halmstad, Sweden, Jun., 2016 [Honorable Mention Paper Award]
[48] Y. Makihara, T. Kimura, F. Okura, I. Mitsugami, M. Niwa, C. Aoki, A. Suzuki, D. Muramatsu, Y. Yagi, Gait Collector: An Automatic Gait Data Collection System in Conjunction with an Experience-based Long-run Exhibition, In Proc. of the 8th IAPR Int. Conf. on Biometrics (ICB 2016), pp.1-8, Halmstad, Sweden, Jun., 2016
[47] D. Muramatsu, Y. Makihara, Y. Yagi,Gait Regeneration for Recognition, In Proc. of the 7th IAPR Int. Conf. on Biometrics (ICB 2015), Paper ID 60, Phuket, Thailand, May, 2015 (Oral presentation).
[46] T. Kimura, Y. Makihara, D. Muramatsu, Y. Yagi, Single Sensor-based Multi-quality Multi-modal Biometric Score Database and Its Performance Evaluation, In Proc. of the 7th IAPR Int. Conf. on Biometrics (ICB 2015), Paper ID 61, Phuket, Thailand, May, 2015 (Oral presentation at Best-Reviewed Papers Session).
[45] Y. Makihara, A. Mansur, D. Muramatsu, Z. Uddin and Y. Yagi, Multi-view Discriminant Analysis with Tensor Representation and Its Application to Cross-view Gait Recognition, The 11th IEEE International Conference on Automatic Face and Gesture Recognition Conference, 2015 (Oral presentation) 
[44] Y. Makihara, D. Muramatsu, M.A. Hossain, H. Iwama, T.T. Ngo, and Y. Yagi, Score-Level Fusion by Generalized Delaunay Triangulation, Proc. of the 2nd IEEE/IAPR Int. Joint Conf. on Biometrics (IJCB 2014), 2014 (Oral presentation).
[43] A. Mansur, Y. Makihara, D. Muramatsu, and Y. Yagi, Cross-view Gait Recognition using View-dependent Discriminative Analysis, Proc. of the 2nd IEEE/IAPR Int. Joint Conf. on Biometrics (IJCB 2014), 2014 (Oral presentation).
[42] D. Muramatsu, Y. Makihara, and Y. Yagi, View Transformation-based Cross View Gait Recognition Using Transformation Consistency Measure, 2nd International Workshop on Biometrics and Forensics 2014 (Best Paper Award)
[41] D. Muramatsu, Y. Makihara, and Y. Yagi, Are Intermediate Views Beneficial for Gait Recognition using a View Transformation Model?, 20th Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2014 (Poster presentation)
[40] D. Muramatsu, Y. Makihara, and Y. Yagi, Quality-dependent View Transformation Model for Cross-view Gait Recognition, Proc. The IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems, Sep. 2013 (Oral presentation at best reviewed session)
[39] Y. Sato, F. Akazawa, D. Muramatsu, T. Matsumoto, A. Nakamura, T. Sota, An Authentication Method by High Spectral Resolution Palm Datacube, IEEE ICBAKE, July, 2013
[38] D. Muramatsu, H. Iwama, Y. Makihara, and Y. Yagi, Multi-view Multi-modal Person Authentication from a Single Walking Image Sequence, The 6th IAPR International Conference on Biometrics, June, 2013 (Oral presentation)
[37] D. Muramatsu and Y. Yagi, Silhouette-based online signature verification using pen tip trajectory and pen holding style, The 6th IAPR International Conference on Biometrics, June, 2013 (Poster presentation)
[36] Y. Makihara, D. Muramatsu, H. Iwama, and Y. Yagi, On Combining Gait Features, Proc. of the 9th IEEE Conference on Automatic Face and Gesture Recognition (FG 2013), Shanghai, China, April. 2013 (Oral presentation)
[35] D. Muramatsu and Y. Yagi, Attacks Using Random Forgery Against DTW-Based Online Signature Verification Algorithm, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp. 1303--1308, 2012 (Oral presentation)
[34] D. Muramatsu, A. Shiraishi, Y. Makihara and Y. Yagi, Arbitrary View Transformation Model for Gait Person Authentication, IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems, 2012 (Oral presentation)
[33] H. Iwama, D. Muramatsu, Y. Makihara and Y. Yagi, Gait-based Person-Verification System for Forensics, IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems, 2012 (Oral presentation)
[32] Y. Makihara, M.A. Hossain, D. Muramatsu, and Y. Yagi, Score-level Fusion based on the Direct Estimation of the Bayes Error Gradient Distribution, Proceedings of the International Joint Conference on Biometrics (IJCB2011), Paper ID 197, pp. 1-8, 2011
[31] N. Houmani, S. Garcia-Salicetti, B. Dorizzi, J. Montalvao, J.C. Canuto, M.V. Andrade, Y. Qiao, X. Wang, T. Scheidat, A. Makrushin, D. Muramatsu, J. Putz-Leszczynska, M. Kudelski, M. Faundez-Zanuy, J.M. Pascual-Gaspar, V. Cardenoso-Payo, C. Vivaracho-Pascual, E. Argones Riia, J.L. Alba-Castro, A. Kholmatov, B. Yanikoglu, BioSecure Signature Evaluation Campaign (ESRA'2011): evaluating systems on quality-based categories of skilled forgeries, Proceedings of the International Joint Conference on Biometrics (IJCB2011), 2011
[30] D. Muramatsu, Random Forgery Attacks against DTW-Based Online Signature Verification Algorithm, Proceedings of the 26th Symposium On Applied Computing, 2011
[29] S. Shirato, D. Muramatsu, and T. Matsumoto, Camera-Based Online Signature Verification System -Effects of Camera Positions-, Proceedings of World Automation Congress, 2010
[28] Y. Hashimoto, D. Muramatsu, H. Ogata, Biometric Person Authentication Method Using Features Extracted from Pen-holding Style, Proceedings of SPIE, Vol. 7708, 77080H, 2010
[27] D. Muramatsu, M. Inuma, J. Shikata, A. Otsuka, Fusion Strategies for Boosting Cancelable Online Signature Verification, Proceedings of SPIE, Vol. 7708, 770809, 2010
[26] D. Muramatsu and T. Matsumoto, Online Signature Verification Algorithm with a User-Specific Global-Parameter Fusion Model, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp.492-497, 2009
[25] D. Muramatsu, K. Yasuda, S. Shirato and T. Matsumoto, Camera-Based Online Signature Verification with Sequential Marginal Likelihood Change Detector, Proceedings of 13th International Conference on Computer Analysis of Images and Patterns, Lecture Notes in Computer Science, Vol.5702, pp. 229-236, 2009
[24] D. Muramatsu and T. Matsumoto, Biometric Person Authentication Method Using Camera-Based Online Signature Acquisition, Proceedings of International Conference on Document Analysis and Recognition, pp. 46-50, 2009
[23] K. Yasuda, D. Muramatsu and T. Matsumoto,Visual-based Online Signature Verification by Pen Tip Tracking, Proceedings of CIMCA 2008, pp.175-180, 2008
[22] D. Muramatsu, Online Signature Verification Using Hill-Climbing Method, Proceedings of.IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, Vol.2, pp133-138, 2008
[21] K. Koishi, S. Kinoshita, D. Muramatsu and T. Matsumoto, Online Signature Verification Based on User-Generic Model with Markov Chain Monte Carlo, Taking into Account User Individuality, Proceedings of SCIS & ISIS 2008, pp.1635-1640, 2008
[20] D. Muramatsu and T. Matsumoto, Effectiveness of Pen Pressure, Azimuth and Altitude Features of Online Signature Verification, Proceedings of International Conference on Biometrics, Lecture Notes in Computer Science, Vol.4642, pp.503-512, 2007
[19] S. Kinoshita, D. Muramatsu and T. Matsumoto, Online Signature Verification Based on User-generic Fusion Model with Markov Chain Monte Carlo Method, Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems, pp.391-394, 2006
[18] Y. Kato, D. Muramatsu and T. Matsumoto, Signature Verification using a Monte Carlo-based Updating Algorithm Adapted to Intersession Variability, Proceedings of International Symposium on Intelligent Signal Processing and Communication Systems, pp.387-390, 2006
[17] Y. Kato, D. Muramatsu and T. Matsumoto, A Sequential Monte Carlo Algorithm for Adaptation to Intersession Variability in On-line Signature Verification, Proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition, pp.467-472, 2006
[16] Y. Hongo, D. Muramatsu, and T. Matsumoto, Modification on Intersession Variability in On-Line Signature Verifier, Proceedings of Audio- and Video-Based Biometric Person Authentication, Lecture Notes in Computer Science, Vol. 3546, pp. 455-463, 2005
[15] Y. Hongo, D. Muramatsu, and T. Matsumoto, AdaBoost-based on-line signature verifier, Proceedings of SPIE, Vol. 5779, pp. 373-380, 2005
[14] A. Funada, D. Muramatsu, and T. Matsumoto, The Reduction of Memory and the Improvement of Recognition Rate for HMM On-line Handwriting Recognition, Proceedings of 9th International Workshop on Frontiers in Handwriting Recognition, pp. 383-388, 2004
[13] T. Kaburagi, D. Muramatsu, S. Hashimoto, M. Sasaki, and T. Matsumoto, Transmembrane Region Prediction with Hydropathy Index/Charge Two-Dimensional Trajectories of Stochastic Dynamical Systems, Proceedings of the Second Asia Pacific Bioinformatics Conference, pp. 35-42, 2004
[12] D. Muramatsu, S. Hashimoto, T. Tsunashima, T. Kaburagi, M. Sasaki, and T. Matsumoto, Inferring Transmembrane Region Counts with Hydropathy Index/Charge Two Dimensional Trajectories of Stochastic Dynamical Systems, Proceedings of 2003 IEEE Workshop on Neural Networks for Signal Processing, Special Session on Bioinformatics, pp. 101-110, 2003
[11] M. Kondo, D. Muramatsu, M. Sasaki, and T. Matsumoto, Nonlinear Separation of Signature Trajectories for On-line Personal Authentication, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 2, pp. 349-352, 2003
[10] M. Kondo, D. Muramatsu, M. Sasaki, and T. Matsumoto, Bayesian MCMC For Biometric Person Authentication Incorporating On-line Signature Trajectories, Proceedings of Signal Processing, Pattern Recognition and Applications, pp.269-273, 2003
[9] M. Kondo, D. Muramatsu, M. Sasaki, and T. Matsumoto, Nonlinear Separation of Signature Trajectories for On-line Personal Authentication, Proceedings of 2003 IEEE International Conference on Multimedia and Expo., Vol. 3, pp. 89-92, 2003
[8] D. Muramatsu and T. Matsumoto, An HMM On-line Signature Verifier Incorporation Signature Trajectories, Proceedings of 7th International Conference on Document Analysis and Recognition, Vol. 1, pp. 438-442, 2003
[7] D. Muramatsu and T. Matsumoto An HMM On-line Signature Verification with Pen Position Trajectories, Proceedings of the 2003 International Conference on Artificial Intelligence, pp. 299-303, 2003
[6] M. Kondo, D. Muramatsu, M. Sasaki, and T. Matsumoto, A Bayesian MCMC On-line Signature Verification, Proceeding of 5th International Conferenc Audio-and Video-Based Biometric Person Authentication, Lecture Notes in Computer Science, Vol. 2688, pp. 540-548, 2003
[5] D. Muramatsu and T. Matsumoto, An HMM On-line Signature Verification Algorithm, Proceeding of 5th International Conference Audio-and Video-Based Biometric Person Authentication, Lecture Notes in Computer Science, Vol. 2688, pp. 233-241, 2003
[4] D. Sakamoto, M. Kondo, H. Morita, D. Muramatsu, M. Sasaki, T. Matsumoto, Dynamic Biometric Person Authentication Using Pen Signature Trajectories, Proceedings of 9th International Conference on Neural Information Processing, 2002(Invited)
[3] K. Hadidi, D. Muramatsu, T. Oue, T. Matsumoto, A 500MS/sec ?54dB THD S/H Circuit in a 0.5μm CMOS Process, Proceedings of IEEE European Solid-State Circuit Conference, pp.158-161, 1999
[2] K. Hadidi, J. Sobhi, A. Hasankhaan, D. Muramatsu, T. Matsumoto, A Novel Highly Linear CMOS Buffer, Proceedings of IEEE International Conference on Electronics on Electronics, Circuits and Systems, pp. 369-371, 1998
[1] K. Hadidi, M. Sasaki, T. Watanabe, D. Muramatsu, T. Matsumoto, An Open-Loop Full CMOS 103MHz -61dB THD S/H Circuit, Proceedings of the IEEE 1998 Custom Integrated Circuits Conference, pp. 381?383, 1998
 国際会議論文(査読無)
D. Muramatsu, Y. Makihara, and Y. Yagi, Occlusion Handling in Gait Recognition via Feature Regeneration, Proc. of the 10th Int. Workshop on Robust Computer Vision (IWRCV 2015), Beijing, China, Nov. 2015
Y. Makihara, T. Tanoue, D. Muramatsu, Y. Yagi, S. Mori, Y. Utsumi, M. Iwamura, and K. Kise, Individuality-preserving Silhouette Extraction for Gait Recognition, Proc. of the 10th Int. Workshop on Robust Computer Vision (IWRCV 2015), Beijing, China, Nov. 2015
Daigo Muramatsu, Yasusi Makihara, Yasushi Yagi, Cross-View Gait Recognition Using Transformation Consistency, The 9th International Workshop on Robust Computer Vision, Dec, 2014
Daigo Muramatsu, Yasushi Yagi Online Signature Verification Using Pen Tip Trajectory and Pen Holding Style, The 8th International Workshop on Robust Computer Vision, Jan, 2014
Daigo Muramatsu, Yasushi Makihara, Haruyuki Iwama, Takuya Tanoue, Yasushi Yagi, Gait Verification System for Supporting Criminal Investigation, The 2nd IAPR Asian Conference on Pattern Recognition, Nov., 2013
Daigo Muramatsu, Akira Shiraishi, Yasushi Makihara, Yasushi Yagi, Gait-Based Person Authentication Method Using Arbitrary View Transformation Model, The 7th International Workshop on Robust Computer Vision, Jan., 2013
Haruyuki Iwama, Daigo Muramatsu, Yasushi Makihara and Yasushi Yagi, Gait-based Person Authentication System for Criminal Investigation, The 7th International Workshop on Robust Computer Vision , Jan., 2013
Daigo Muramatsu, Yuki Hashimoto, Hiroyuki Ogata, and Yasushi Yagi, Pen-Holding Style Verification,” In Proc. 15th Sanken International Symposium, Jan, 2012
Daigo Muramatsu, Yuki Hashimoto, and Hiroyuki Ogata, “Person Authentication Method Using Writing Style, BIT's Annual World Congress of Forensics, Oct., 2011
Takashi Matsumoto, Daigo Muramatsu, Image-based Authentication Methods, BIT's Annual World Congress of Forensics, Oct., 2011
 国内発表(査読有)
Y. Makihara, T. Tanoue, D. Muramatsu, Y. Yagi, S. Mori, Y. Utsumi, M. Iwamura, K. Kise, Individuality-preserving Silhouette Extraction for Gait Recognition, 第18回 画像の認識・理解シンポジウム (MIRU 2015), 吹田, 2015年7月
T. Kimura, Y. Makihara, D. Muramatsu, Y. Yagi, Quality-dependent Score-level Fusion of Face, Gait, and the Height Biometrics, 第17回画像の認識・理解シンポジウム(MIRU 2014), 岡山,2014年7月(MIRU学生優秀賞)
D. Muramatsu, Y. Makihara, Y. Yagi, ``Cross-view Gait Recognition Using View Transformation Framework,'' Annual Workshop on Mathematics and Computer Science, Mar. 2014
Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi, “Gait Recognition by Fusing Direct Cross-view Matching Scores for Criminal Investigation, 第16回画像の認識・理解シンポジウム(MIRU 2013), 東京, 2013年7月
 国内発表(査読無)
村松 大吾, 槇原 靖, 八木 康史, 歩容らしさを考慮した別視点歩容特徴生成, 電子情報通信学会 バイオメトリクス3月研究会予稿集, BioX2015-56, pp.81-85, 3月, 2016
白神康平, 槇原 靖, 村松大吾, 越後富夫, 八木康史, 畳み込みニューラルネットワークを用いた異なる視点間での歩容認証, 電子情報通信学会 バイオメトリクス3月研究会予稿集, no.BioX2015-57, pp.87-92, 2016年3月
木村 卓弘, 槇原 靖, 大倉 史生, 満上 育久, 丹羽 真隆, 青木 千尋, 鈴木 温之, 村松 大吾, 八木 康史, 大規模歩行データベースのための自動歩行計測システム, 情報処理学会研究報告コンピュータビジョンとイメージメディ ア, 情報処理学会, vol.2016-CVIM-200, no.18, pp.1-8, 大阪, 2016年1月
木村 卓弘, 村松 大吾, 槇原 靖, 八木 康史, 多様な時空間解像度におけるマルチモーダル生体認証スコアデータベースの構築とその性能評価, 第5回バイオメトリクスと認識・認証シンポジウム (SBRA 2015), No. S-3-4, p. 1, 東京, Nov. 2015(招待講演)
木村 卓弘, 村松 大吾, 槇原 靖, 八木 康史, 防犯カメラ映像を対象としたマルチモーダル人物鑑定システム, 第5回バイオメトリクスと認識・認証シンポジウム (SBRA 2015), No. S-1-4, p. 1, 東京, Nov. 2015(招待講演)
村松 大吾, 槇原 靖, 八木 康史, 歩容再生を用いた遮蔽下での歩容認証, 第5回バイオメトリクスと認識・認証シンポジウム (SBRA 2015), No. S-1-4, pp. 5-6, 東京, Nov. 2015(招待講演)
鈴木 温之, 槇原 靖, 村松 大吾, 八木 康史, 混雑シーンとながら歩行に対する個人認証に向けた歩行映像データベースの構築, 第18回 画像の認識・理解シンポジウム(MIRU 2015), 吹田, 2015年7月
生熊 沙絢, 槇原 靖, 大倉 史生, 村松 大吾, 八木 康史, 乳牛の歩行映像データベース構築と個体識別, 第18回 画像の認識・理解シンポジウム(MIRU 2015), 吹田, 2015年7月.
鈴木 温之, 槇原 靖, 村松 大吾, 八木 康史, 実環境下での個人認証に向けた歩行映像データベースの構築, 情報処理学会研究報告コンピュータビジョンとイメージメディア, Vol. 2015-CVIM-198, No. 24, pp. 1-6, 東京, May. 2015年5月
生熊 沙絢, 槇原 靖, 大倉 史生, 村松 大吾, 八木 康史, 乳牛の映像データベース構築と映像解析に基づく個体識別, 情報処理学会研究報告コンピュータビジョンとイメージメディア, Vol. 2015-CVIM-197, No. 23, pp. 1-8, 東京, May. 2015年3月
木村 卓弘,村松 大吾,槇原 靖,八木 康史,歩行者マルチバイオメトリクスにおける防犯カメラ時空間解像度設定に関する検討,電子情報通信学会 バイオメトリクス3月研究会予稿集,BioX2014-50, pp. 65-70, Mar. 2015.
田上 拓弥, 槇原 靖, 村松 大吾, 八木 康史, 標準歩容モデルとの照合に基づく歩行者領域抽出, 情報処理学会研究報告 コンピュータビジョンとイメージメディア, Vol. 2015-CVIM-195, No. 61, pp. 1-6, 奈良, 2015年1月.
木村卓弘,槇原靖,村松大吾,八木康史,状況変化に適応的なスコア統合のための歩容・頭部・身長によるマルチモーダルスコアデータベース,第4回バイオメトリクスと認識・認証シンポジウム, 東京,2014年11月
村松大吾,槇原靖,八木康史,変換一貫性指標を用いた異なる視点間の歩容認証,第4回バイオメトリクスと認識・認証シンポジウム, 東京,2014年11月
木村卓弘,村松 大吾,槇原 靖,八木 康史,防犯カメラ映像による犯罪捜査のためのマルチモーダル人物鑑定システム,第4回バイオメトリクスと認識・認証シンポジウム, 東京,2014年11月
村松大吾,木村卓弘,槇原靖,八木康史,マルチモーダル歩行者認証の科学捜査向け評価,信学技報,BioX2014-29, pp.7--10, 石垣島,2014年11月
村松大吾,画像列を用いたバイオメトリクス,第15回情報フォトニクス研究グループ研究会, 京都,2014年9月
木村卓弘, 村松大吾, 槇原靖, 八木康史, 歩容・顔・身長によるマルチモーダル鑑定システム,第17回画像の認識・理解シンポジウム(MIRU 2014), ・Eェ山, Jul. 2014年7月
木村 卓弘, 槇原 靖, 村松 大吾, 八木 康史, 歩容・顔・身長によるマルチモーダル個人認証のための時空間解像度に適応的なスコア統合, 情報処理学会研究報告コンピュータビジョンとイメージメディア, Vol. 2014-CVIM-192, No. 12, 東大阪, 2014年5月
佐藤優太, 赤沢史嗣,村松大吾,松本隆,中村厚,宗田孝之,手のひら高分解能光画像群を用いたバイオメトリクス,電子情報通信学会総合大会,新潟,2014年3月
北條佑樹,佐藤優太,村松大吾,松本隆,中村厚,宗田孝之,手のひらハイパースペクトル画像を用いた生体認証の特徴抽出に関する考察,電子情報通信学会総合大会,2014年3月
廖 若辰, 槇原 靖, 村松 大吾, 満上 育久, 八木 康史, 吉山 顕次, 數井 裕光, 武田 雅俊, 特発性正常圧水頭症患者に対する髄液排除試験前後の歩行映像解析, 第15回日本正常圧水頭症学会, pp.85, 吹田, 2014年2月
村松大吾,槇原靖,八木康史,任意視点変換モデルを用いた歩容認証における変換視点の考察,バイオメトリクス研究会資料,pp.52-55, 2013年8月
八木康史、槇原靖,村松大吾,歩容映像解析,バイオメトリクス研究会資料,pp.31-33, 2013年8月(招待講演)
村松大吾,白石明,槇原靖,八木康史,任意視点変換モデルを用いた歩容認証,第16回画像の認識・理解シンポジウム,2013年7月
川合諒,槇原靖,村松大吾,八木康史,位相同期不要な方向変換モデルを用いた複数カメラ間での人物照合,第16回画像の認識・理解シンポジウム,2013年7月
村松大吾,槇原靖,八木康史,歩行者認証におけるマルチバイオメトリクス,電子情報通信学会総合大会,2013年3月
佐藤優太,赤沢史嗣,村松大吾,・シ本隆,中村厚,宗田孝之,“0.93nm波長解像度ハイパースペクトラルDatacube生体認証”,電子情報通信学会総合大会,2013年3月
岩間晴之, 村松大吾, 槇原靖, 八木康史, 犯罪捜査支援のための歩容に基づく人物鑑定システム,情報処理学会研究報告コンピュータビジョンとイメージメディア, Vol. 2013-CVIM-186, No. 3, pp. 1-10,2013
川合諒,槇原 靖,村松大吾,岩間晴之,八木康史,方向変換モデルを用いた複数カメラ間での人物照合, 情報処理学会研究報告コンピュータビジョン・ニイメージメディア Vol. 2013-CVIM-185, No. 11, pp. 1-8,2013
村松大吾,八木康史,手形状シルエットに基づくオンライン署名認証,第2回バイオメトリクスと認識・認証シンポジウム,2012年11月
槇原靖,モハマド アルタブ ホサイン,村松大吾,岩間晴之,チュン タン ゴ,八木康史,ドロネー三角形分割を用いた確率密度推定に基づくスコアレベル統合,情報処理学会研究報告コンピュータビジョンとイメージメディア, Vol. 2012-CVIM-183, No. 25, pp.1-8, 2012
赤沢史嗣,村松大吾,佐藤優太,松本隆,中村厚,宗田孝之,“0.93nmスペクトル解像度ハイパースペクトラルDatacube生体認証の試み”,第1回バイオメトリクス研究会,2012
大久保勇作,小方博之,村松大吾,“鉄棒逆上がり運動のスキル評価”,精密工学会2012年度春季大会学術講演会,2012
藤ノ木 裕一,関根淳一,小方博之,村松大吾,“サフランめしべ収穫ロボットの開発”,精密工学会2012年度春季大会学術講演会,2012
森川健一郎,村松大吾,小方博之,“Haar-like特徴とエッジ検出を用いた仮名漢字領域アルゴリズムの開発”,精密工学会2012年度春季大会学術講演会,2012

2011年以前を含む全て
 受賞
Best Poster Honorable Mention Award (IWRCV2016)
D. Muramatsu, K. Shiraga, Y. Makihara, and Y. Yagi, GEINet: View-invariant Gait Recognition Using Convolutional Neural Network, Nov. 2016
ICB2016 Honorable Mention Paper Award
Kohei Shiraga, Yasushi Makihara, Daigo Muramatsu, Tomio Echigo, Yasushi Yagi, GEINet: View-Invariant Gait Recognition Using a Convolutional Neural Network ,2016
SBRA2015優秀ポスター賞
村松大吾,槇原靖,八木康史,歩容再生を用いた遮蔽下での歩容認証,2015
MIRU2014 学生優秀賞
Takuhiro Kimura, Yasushi Makihara, Daigo Muramatsu, Yasushi Yagi, Quality-dependent Score-level Fusion of Face, Gait, and the Height Biometrics, 2014
IWBF2014 Best Paper Award
Daigo Muramatsu, Yasushi Makihara, and Yasushi Yagi, View Transformation-based Cross View Gait Recognition Using Transformation Consistency Measure, 2014
MIRU2013 ベストデモ発表賞
村松大吾,槇原靖,岩間晴之,八木康史,犯罪捜査支援のための歩容鑑定システム,2013
日本テスト学会大会発表賞
大久保勇作,小方博之,村松大吾,筋電計を用いた鉄棒逆上がり運動のスキル評価の試み
 出場コンペティション
Evaluation of Signature Resistance to Attacks (ESRA2011)
BioSecure Signature Evaluation Campaign (BSEC2009)
ICDAR 2009 Signature Verification Competition (Sigcomp2009)