{"id":206,"date":"2017-07-20T14:29:03","date_gmt":"2017-07-20T12:29:03","guid":{"rendered":"http:\/\/vimed.pwr.edu.pl\/?page_id=206"},"modified":"2017-08-14T14:55:14","modified_gmt":"2017-08-14T12:55:14","slug":"literatura","status":"publish","type":"page","link":"https:\/\/traf-barak.pwr.edu.pl\/index.php\/literatura\/","title":{"rendered":"Literatura"},"content":{"rendered":"

Publikacje<\/strong><\/p>\n

    \n
  1. Galinska, K., Luboch, P., Kluwak, K., Bieganski, M.<\/strong>: A database of elementary human movements collected with RGB-D type camera.<\/em> In: 2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). pp. 575\u2013580. IEEE, Gyor (2015).<\/a><\/li>\n
  2. Tang, J., Luo, J., Tjahjadi, T., Gao, Y.<\/strong>: 2.5D Multi-View Gait Recognition Based on Point Cloud Registration.<\/em> Sensors. 14, 6124\u20136143 (2014).<\/a><\/li>\n
  3. Shingade, A., Ghotkar, A.<\/strong>: Animation of 3D Human Model Using Markerless Motion Capture Applied To Sports.<\/em> Int. J. Comput. Graph. Animat. 4, 27\u201339 (2014).<\/a><\/li>\n
  4. Machado-Molina, M., Bonninger, I., Dutta, M.K., Kutzner, T., Travieso, C.M.<\/strong>: Gait-based recognition of humans using Kinect camera.<\/em> Recent Adv. Comput. Eng. Commun. Inf. Technol. Espanha. 63\u201371 (2014).<\/a><\/li>\n
  5. Ali, S., Zhou, M., Wu, Z., Razzaq, A., Hamada, M.<\/strong>: Comprehensive Use of Hip Joint in Gender Identification using 3-Dimension Data<\/em>. 11, 2933\u20132941 (2013).<\/a><\/li>\n
  6. Sharma, A., Agarwal, M., Sharma, A., Dhuria, P.<\/strong>: Motion Capture Process , Techniques and Applications.<\/em> Int. J. Recent Innov. Trends Comput. Commun. 1, 251\u2013257 (2013).<\/a><\/li>\n
  7. Ali, S., Wu, Z., Zhou, M., Razzaq, A., Ahamd, H., Technology, V.<\/strong>: Human Identification based on Gait Joints Area through Straight Walking view.<\/em> 13\u201319 (2013).<\/a><\/li>\n
  8. Ali, Sajid and Wu, Z., Zhou, M., Razzaq, A., Asadi, M.A., Pervez, M.T.<\/strong>: Weigh Up Performance of Joints in Human Gait Walk with Motion Block.<\/em> Adv. Inf. Sci. Serv. Sci. 5, 474\u2013484 (2013).<\/a><\/li>\n
  9. Proch, A.<\/strong>: The MS Kinect Use for 3D Modelling and Gait Analysis in the MATLAB Environment.<\/em> Proc. Conf. Tech. Comput. Prague. 1\u20136 (2013).<\/a><\/li>\n
  10. Sinha, A., Chakravarty, K., Bhowmick, B.<\/strong>: Person Identification using Skeleton Information from Kinect.<\/em> Sixth Int. Conf. Adv. Comput. Interact. 101\u2013108 (2013).<\/a><\/li>\n
  11. Gabel, M., Renshaw, E., Schuster, A., Gilad-Bachrach, R.<\/strong>: Full Body Gait Analysis with Kinect.<\/em> 1964\u20131967 (2012).<\/a><\/li>\n
  12. Budziszewski, P.<\/strong>: Zastosowanie kontrolera {Kinect} oraz zestawu czujnik\u00f3w inercyjnych do rejestracji ruchu cz\u0142owieka dla potrzeb rzeczywisto\u015bci wirtualnej oraz sterowania.<\/em> Pomiary Autom. Robot. 16, 189\u2013193 (2012).<\/a><\/li>\n
  13. Naresh Kumar, M.S., Venkatesh Babu, R.<\/strong>: Human Gait Recognition Using Depth Camera\u202f: A Covariance Based Approach.<\/em> Proc. Eighth Indian Conf. Comput. Vision, Graph. Image Process. 20 (2012).<\/a><\/li>\n
  14. Ali, S.<\/strong>: Gender Recognition in Walk Gait through 3D Motion by Quadratic Bezier Curve and Statistical Techniques.<\/em> arXiv Prepr. arXiv1211.1482. (2012).<\/a><\/li>\n
  15. Oro\u0144, G.<\/strong>: Wykorzystanie Program\u00f3w Komputerowych W Symulacji Proces\u00f3w Biomechanicznych.<\/em> Technol. i Autom. Monta\u017cu. 1, 38\u201343 (2011).<\/a><\/li>\n
  16. Weiss, A., Hirshberg, D., Black, M.J.<\/strong>: Home 3D Body Scans from Noisy Image and Range Data \u2020 Perceiving Systems Dept .<\/em>, Max Planck Institute for Intelligent Systems , T. Work. 1951\u20131958 (2011).<\/a><\/li>\n
  17. Kar, A.<\/strong>: Skeletal Tracking using Microsoft Kinect The Microsoft Kinect sensor.<\/em> Methodology. 1\u201311 (2010).<\/a><\/li>\n
  18. Gramacki, J., Gramacki, A<\/strong>.: Wybrane metody redukcji wymiarowo\u015bci danych oraz ich wizualizacji.<\/em> In: XIV Konferencja PLOUG. pp. 229\u2013249 (2008).<\/a><\/li>\n
  19. Hafner, V. V., Bachmann, F.<\/strong>: Human-Humanoid walking gait recognition.<\/em> 2008 8th IEEE-RAS Int. Conf. Humanoid Robot. Humanoids 2008. 598\u2013602 (2008).<\/a><\/li>\n
  20. Ramadan, S.<\/strong>: Scalable Salient Motions Detection from Skeletal Motion Capture Data.<\/em> (2007).<\/a><\/li>\n
  21. Jablonski, B., Klempous, R., Kulbacki, M.<\/strong>: PDE-based filtering of motion sequences.<\/em> J. Comput. Appl. Math. 189, 660\u2013675 (2006).<\/a><\/li>\n
  22. Yang, S.<\/strong>: Purpose of Gait analysis application History<\/em>, (2005).<\/a><\/li>\n
  23. Jackiewicz, K., Olejowski, W.<\/strong>: Interfejs do akwizycji danych biometrycznych, (2005).<\/a><\/li>\n
  24. Kirk, A.G., O\u2019Brien, J.F., Forsyth, D. a.<\/strong>: Skeletal Parameter Estimation from Optical Motion Capture Data.<\/em> Comput. Vis. Pattern Recognition, 2005. CVPR 2005. IEEE Comput. Soc. Conf. on. 2, 782\u2013788 Vol. 2 (2005).<\/a><\/li>\n
  25. Jab\u0142o\u0144ski, B., Klempous, R., Majchrzak, D.<\/strong>: Analiza mo\u017cliwo\u015bci identyfikacji ruchu postaci w oparciu o technik\u0119 Motion Capture.<\/em> 121\u2013129 (2005).<\/a><\/li>\n
  26. Middleton, L., Buss, A.A., Bazin, A., Nixon, M.S.<\/strong>: A floor sensor system for gait recognition.<\/em> Proc. – Fourth IEEE Work. Autom. Identif. Adv. Technol. AUTO ID 2005. 2005, 171\u2013180 (2005).<\/a><\/li>\n
  27. Veres, G.V., Gordon, L., Carter, J.N., Nixon, M.S.<\/strong>: What image information is important in silhouette-based gait recognition?<\/em> Proc. 2004 IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognition, 2004. CVPR 2004. 2, 776\u2013782 (2004).<\/a><\/li>\n
  28. Nixon, M.S., Carter, J.N.<\/strong>: Advances in automatic gait recognition.<\/em> In: Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings. pp. 139\u2013144. IEEE (2004).<\/a><\/li>\n
  29. Murakita, T., Ikeda, T., Ishiguro, H.<\/strong>: Human tracking using floor sensors based on the {Markov Chain Monte Carlo} method.<\/em> Pattern Recognition, 2004. ICPR 2004. Proc. 17th Int. Conf. 4, 917\u2013920 (2004).<\/a><\/li>\n
  30. Meredith, M., Maddock, S., Road, P.<\/strong>: Motion Capture File Formats Explained.<\/em> Motion Capture St. 1\u201336 (2001).<\/a><\/li>\n
  31. Sato, T.M.O.R.T., Yoshimot, K.A.Y.<\/strong>: One-Room-Type Sensing System for Recognition and Accumulation of Human Behavior Idea of Human Behavior Recognition and Realized Met hods.<\/em> Proc. 2000 IEEE\/RSJ Int. Conf. Intell. Robot. Syst. 344\u2013350 (2000).<\/a><\/li>\n
  32. Orr, R.J., Abowd, G.D.<\/strong>: The Smart Floor\u202f: A Mechanism for Natural User Identification and Tracking.<\/em> Conf. Hum. Factors Comput. Syst. 275\u2013276 (2000).<\/a><\/li>\n
  33. Paradiso, J., Abler, C., Hsiao, K., Reynolds, M.<\/strong>: The magic carpet: physical sensing for immersive environments.<\/em> In: CHI \u201997 extended abstracts on Human factors in computing systems looking to the future – CHI \u201997. pp. 277\u2013278. ACM Press, New York, New York, USA (1997).<\/a><\/li>\n
  34. Reilly, R.E., Soames, R.W.<\/strong>: An imaging walkway for gait analysis.<\/em> IEE Colloq. `Medical Imaging Transduct. Parallel Process. 5\/1-5\/2 (1992).<\/a><\/li>\n<\/ol>\n

    Edycja ksi\u0105\u017cek<\/strong><\/p>\n

      \n
    1. Klempous, R., Nikodem, J.<\/strong>: Innovative Technologies in Management and Science.<\/em> Springer (2014).<\/li>\n
    2. Klempous, R., Nikodem, J., Jacak, W., Chaczko, Z.<\/strong>: Advanced Methods and Applications in Computational Intelligence.<\/em> Springer Science & Business Media (2013).<\/li>\n
    3. Agbinya, J.I., Aguayo-Torres, M.C., Klempous, R.<\/strong>: 4G Wireless Communication Networks: Design Planning and Applications.<\/em> River Publishers (2013).<\/li>\n
    4. Fodor, J., Klempous, R., Araujo, C.P.S.<\/strong>: Recent advances in intelligent engineering systems.<\/em> Springer Science & Business Media (2011).<\/li>\n
    5. Chaczko, Z., Klempous, R., Nikodem, J.<\/strong>: Stealing time: exploration in 24\/7 software engineering development.<\/em> River Publishers (2010).<\/li>\n
    6. Klempous R.<\/strong>:\u00a0Diversitas cybernetica.<\/em> WK\u0141 (2005).<\/li>\n<\/ol>\n

      Ksi\u0105\u017cki<\/strong><\/p>\n

        \n
      1. Wittenberg, I.<\/strong>: Performance and Motion Capture Using Multiple Xbox Kinects<\/em>, (2013).<\/a><\/li>\n
      2. Fitzpatrick, M., Matthiopoulos, N.<\/strong>: Real Time Person Tracking and Identification using the Kinect sensor<\/em>, (2013).<\/a><\/li>\n
      3. Miltiadou, M.<\/strong>: 3D motion capture of an Actor for Fall Detection and Health Monitoring. (2012).<\/a><\/li>\n
      4. Vaughan, C.L., Davis, B.L., O\u2019Connor, J.C.<\/strong>: The Three-Dimensional and Cyclic Nature of Gait.<\/em> (1999).<\/a><\/li>\n
      5. Rutkowska-Kucharska, A.<\/strong>: Synergizm mi\u0119\u015bniowy w procesie sterowania ruchami manipulacyjnymi.<\/em> (1999).<\/a><\/li>\n<\/ol>\n

        Prezentacje<\/strong><\/p>\n

          \n
        1. Biomechanics and Human Gait: An Engineering Introduction.<\/em> (2012).<\/a><\/li>\n
        2. Robinovitch, S.<\/strong>: Clinical biomechanics of gait<\/em>, (2007).<\/a><\/li>\n<\/ol>\n

          Prace magisterskie<\/strong><\/p>\n

            \n
          1. Rost, W.<\/strong>: Zastosowanie MS Kinect przy tworzeniu bazy ruch\u00f3w BVH<\/em>, (2015).<\/a><\/li>\n
          2. Rzeszowski, D.<\/strong>:\u00a0Analiza techniki rejestracji 2D ruchu postaci do cel\u00f3w identyfikacji<\/em>, (2011).<\/a><\/li>\n
          3. Grzegorek, T.<\/strong>: Metody identyfikacji postaci w oparciu o technik\u0119 Motion Capture wykorzystuj\u0105ce bibliotek\u0119 ruch\u00f3w elementarnych Life Forms<\/em>, (2008).<\/a><\/li>\n
          4. Kucharski, T.<\/strong>: Modelowanie kszta\u0142tu i ruchu animowanych postaci<\/em>, (2005).<\/a><\/li>\n
          5. Jab\u0142o\u0144ski, B.<\/strong>: Metody por\u00f3wnywania generator\u00f3w ruchu animowanych postaci ludzkich<\/em>, (2003).<\/a><\/li>\n
          6. Sachajko, M.<\/strong>: Metody tworzenia ruch\u00f3w oparte na regu\u0142ach generacji<\/em>, (2003).<\/a><\/li>\n
          7. Szylhabel, S.<\/strong>: Konstrukja metod automatycznej segmentacji ruch\u00f3w z motion capture<\/em>, (2001).<\/a><\/li>\n
          8. Kulbacki, M.<\/strong>: Podstawowe metody syntezy ruchu animowanych postaci ludzkich<\/em>, (2001).<\/a><\/li>\n
          9. B\u0105k, A.<\/strong>: Organizacja bazy danych ruch\u00f3w elementarnych animowanych postaci ludzkich<\/em>, (2001).<\/a><\/li>\n<\/ol>\n

            Projekty in\u017cynierskie<\/strong><\/p>\n

              \n
            1. Kluwak, K.<\/strong>: Budowa bazy danych ruch\u00f3w elementarnych przy u\u017cyciu dw\u00f3ch r\u00f3\u017cnych kamer Kinect i SoftKinetic<\/em>, (2014).<\/a><\/li>\n
            2. Dr\u0105\u017cek, K.<\/strong>: Wykorzystanie Microsoft Kinect w tworzeniu bazy danych motion capture w formacie BVH<\/em>, (2013).<\/a><\/li>\n
            3. Reichel, R.<\/strong>: Analiza modeli i opis\u00f3w ruchu postaci przy wykorzystaniu Microsoft Kinect<\/em>, (2013).<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

              Publikacje Galinska, K., Luboch, P., Kluwak, K., Bieganski, M.: A database of elementary human movements collected with RGB-D type camera. In: 2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). pp. 575\u2013580. IEEE, Gyor (2015). Tang, J., Luo, J., Tjahjadi, T., Gao, Y.: 2.5D Multi-View Gait Recognition Based on Point Cloud Registration. Sensors. 14, 6124\u20136143 … <\/p>\n

              Czytaj dalej \u201eLiteratura\u201d<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-206","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/traf-barak.pwr.edu.pl\/index.php\/wp-json\/wp\/v2\/pages\/206","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/traf-barak.pwr.edu.pl\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/traf-barak.pwr.edu.pl\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/traf-barak.pwr.edu.pl\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/traf-barak.pwr.edu.pl\/index.php\/wp-json\/wp\/v2\/comments?post=206"}],"version-history":[{"count":22,"href":"https:\/\/traf-barak.pwr.edu.pl\/index.php\/wp-json\/wp\/v2\/pages\/206\/revisions"}],"predecessor-version":[{"id":283,"href":"https:\/\/traf-barak.pwr.edu.pl\/index.php\/wp-json\/wp\/v2\/pages\/206\/revisions\/283"}],"wp:attachment":[{"href":"https:\/\/traf-barak.pwr.edu.pl\/index.php\/wp-json\/wp\/v2\/media?parent=206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}