Publications

  1. T. Kapuscinski: Signed expressions spotting and recognition in an assistive technology system. Procedia Computer Science, 239, 2024, 1141-1148.
  2. T. Kapuscinski, M. Majcher: Vision-based fingerspelling recognition for an assistive technology system. Procedia Computer Science, 237, 2024, 469-476.
  3. D. Kalandyk, T. Kapuscinski: Temporal signed gestures segmentation in an image sequence using deep reinforcement learning. Engineering Applications of Artificial Intelligence 2024, 131, 107879.
  4. D. Warchol, T. Kapuscinski: A Four-Stage Mahalanobis-Distance-Based Method for Hand Posture Recognition. Applied Sciences 2023, 13, 12347.
  5. T. Kapuscinski, M. Mis: Differential Pseudo-Image for Skeleton-Based Dynamic Gesture Recognition. In: 2022 IEEE International Conference on Image Processing (ICIP). IEEE, 2022. p. 4203-4207.
  6. T. Kapuscinski, K. Inglot: Vision-based gesture modeling for signed expressions recognition, Procedia Computer Science 207, 2022, 1007-1016.
  7. T. Kapuscinski: Handshape Recognition in an Educational Game for Finger Alphabet Practicing. In: International Conference on Intelligent Tutoring Systems. Springer, Cham, 2022. p. 75-87.
  8. P. Rzucidlo, G. Jaromi, T. Kapuscinski, D. Kordos, T. Rogalski, P. Szczerba: In-Flight Tests of Intruder Detection Vision System. Sensors Vol 21, No 21, 7360, 2021.
  9. D. Warchol, T. Kapuscinski: Human Action Recognition Using Bone Pair Descriptor and Distance Descriptor. Symmetry 2020, 12, 1580.
  10. T. Kapuscinski, P. Szczerba, T. Rogalski, P. Rzucidlo, Z. Szczerba: A Vision-Based Method for Determining Aircraft State during Spin Recovery. Sensors 2020, 20, 2401.
  11. T. Kapuscinski, M. Wysocki: Recognition of Signed Expressions in an Experimental System Supporting Deaf Clients in the City Office. Sensors 2020, 20, 2190.
  12. T. Kapuscinski, D. Warchol: Hand Posture Recognition Using Skeletal Data and Distance Descriptor, Applied Sciences 2020, 10, 2132.
  13. K. Kamycki, T. Kapuscinski, M. Oszust: Data Augmentation with Suboptimal Warping for Time-Series Classification. Sensors 2020, 20, 98.
  14. D. Warchol, T. Kapuściński, M. Wysocki: Recognition of Fingerspelling Sequences in Polish Sign Language Using Point Clouds Obtained from Depth Images. Sensors Vol 19, No 5, 1078, 2019.
  15. M. Oszust, T. Kapuscinski, D. Warchol, M. Wysocki, T. Rogalski, J. Pieniazek, G. H. Kopecki, P. Ciecinski, P. Rzucidlo: A vision-based method for supporting autonomous aircraft landing, Aircraft Engineering and Aerospace Technology, Vol. 90 Issue: 6, pp.973-982, https://doi.org/10.1108/AEAT-11-2017-0250, 2018.
  16. T. Kapuscinski, P. Organisciak: Handshape Recognition Using Skeletal Data, Sensors, Vol 18, No 8, 2577, 2018.
  17. T. Kapuściński, J. Marnik, M. Oszust, D. Warchoł, M. Wysocki: Komercjalizacja badań naukowych na przykładach wizyjnych systemów SyKoMi i BlinkMouse wspomagających osoby niepełnosprawne, Wybrane problemy zarządzania w gospodarce opartej na wiedzy - przedsiębiorczość i zachowania innowacyjne, Wydawca Katedra Zachowań Organizacyjnych, Uniwersytet Ekonomiczny w Krakowie, 2018, pp. 205-217.
  18. T. Kapuscinski, D. Warchol: A Suite of Tools Supporting Data Streams Annotation and Its Use in Experiments with Hand Gesture Recognition, Studia Informatica, Vol 38, No 4, 89-107, 2017.
  19. T. Kapuscinski, M. Oszust, M. Wysocki, D. Warchol: Recognition of Hand Gestures Observed by Depth Cameras, International Journal of Advanced Robotic Systems, 2015, 12(36).
  20. T. Kapuscinski, M. Oszust, M. Wysocki: Hand Gesture Recognition Using Time of Flight Camera and Viewpoint Feature Histogram, Advances in Intelligent Systems and Computing, vol. 230, Intelligent Systems in Technical and Medical Diagnostics, (J. Korbicz, M. Kowal, Eds.), Springer, 2014, 403-414.
  21. T. Kapuscinski, M. Oszust, M. Wysocki: Recognition of Dynamic Hand Gestures Observed by Depth Cameras, Workshop Proceedings of IAS-13, 13th Intl. Conf. on Intelligent Autonomous Systems Padova (Italy) July 15-19, 2014, ISBN 978-88-95872-06-3, 354-359.
  22. M. Wysocki, T. Kapuscinski: Vision systems, UR Press, 2013 (in Polish).
  23. T. Kapuscinski, M. Oszust, M. Wysocki: Recognition of Signed Dynamic Expressions Observed by ToF Camera, Signal Processing Algorithms, Architectures, Arrangements and Application, SPA 2013, Conf. Proc., Poznan 2013, 291-296, ISBN-13. 978-83-62065-15-8 (IEEE Xplore).
  24. T. Kapuscinski: Vision-Based Recognition of Fingerspelled Acronyms using Hierarchical Temporal Memory, LNAI: Artificial Intelligence and Soft Computing (Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L. A., Zurada J. M., Eds.), Springer-Verlag, Berlin Heidelberg, 2012, 527-534, part I.
  25. J. Marnik, S. Samolej, T. Kapuscinski, M. Oszust, M. Wysocki: Using Computer Graphics, Vision, and Gesture Recognition Tools for Building Interactive Systems Supporting Therapy of Children, Advances in Intelligent and Soft Computing 98, Computer Systems Interaction: Backgrounds and Applications 2 (Z.S. Hippe, J. Kulikowski, T. Mroczek, Eds.), Springer, 2012, 539-553.
  26. M. Wysocki, T. Kapuscinski, J. Marnik, M. Oszust: Vision-based hand gesture recognition, RUT Press, 2011 (in Polish).
  27. T. Kapuscinski: Hand Shape Recognition in Real Images Using Hierarchical Temporal Memory Trained on Synthetic Data, Advances in Intelligent and Soft Computing: Image Processing and Communications Challenges (Choras R. S., Eds.), Springer-Verlag, Berlin Heidelberg 2010, 193-200, part II.
  28. T. Kapuscinski: Using Hierarchical Temporal Memory for Vision-Based Hand Shape Recognition under Large Variations in Hand's Rotation, LNAI: Artificial Intelligence and Soft Computing (Rutkowski L., Scherer R., Tadeusiewicz R., Zadeh L. A., Zurada J., Eds.), Springer-Verlag, Berlin Heidelberg 2010, 272-279, part II.
  29. J. Marnik, S. Samolej, T. Kapuscinski, M. Oszust, M. Wysocki, P. Szczerba, P. Ogorzalek:Computer Vision and Graphics Based System for Interaction with Mentally and Physically Disabled Children, 3rd International Conference on Human System Interaction, HSI 2010, Rzeszow 2010, 485-490 (best paper award in the area of education and training).
  30. T. Kapuscinski, M. Wysocki: Using Hierarchical Temporal Memory for Recognition of Signed Polish Words, Computer Recognition Systems: Advances in Intelligent and Soft Computing (Kurzynski M., Wozniak M, Eds.), Springer-Verlag, Berlin Heidelberg 2009, 355-362.
  31. T. Kapuscinski, M. Wysocki: Automatic Recognition of Signed Polish Expressions Using Visually Oriented Subunits, Computational Intelligence: Methods and Applications (Rutkowski L., Tadeusiewicz R., Zadeh L. A., Zurada J., Eds.), AOW EXIT, Warszawa 2008, 267-278.
  32. T. Kapuscinski, M. Wysocki: Recognition of signed Polish words using visually-oriented subunits, Proc. of the 3rd Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, Poznan, Poland, October 5-7, 2007, 202-206.
  33. T. Kapuscinski, M. Wysocki M: Automatic Recognition of Signed Polish Expressions, Archives of Control Sciences, Vol. 15(LI), No. 3, 251-259, 2006.
  34. T. Kapuscinski, J. Marnik, M. Wysocki: Vision-Based Polish Sign Language Recognition, V Sympozjum Naukowe, Techniki Przetwarzania Obrazu, Serock, listopad 2006, 140-151. (in Polish)
  35. T. Kapuscinski, M. Wysocki: Hidden Markov Models and their application to vision - based event recognition, Pomiary Automatyka Kontrola, 9bis/2005, 306-308 (in Polish).
  36. T. Kapuscinski, J. Marnik, M. Wysocki: Vision-based hand gesture recognition, Pomiary, Automatyka, Kontrola 1/05, 56-59 (in Polish).
  37. T. Kapuscinski, M. Wysocki: Automatic Recognition of Signed Polish Expressions, Proc. of the 2nd Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, Poznan, Poland, April 21-23, 2005, 261-264.
  38. T. Kapuscinski, M. Wysocki: Recognition of Isolated Words of the Polish Sign Language, Proc. of the CORES'05, Computer Recognition Systems, Springer, Heidelberg 2005, 697-704.
  39. T. Kapuscinski, M. Wysocki: Vision-based recognition of Polish Sign Language, Proceedings of the Symposium on Methods of Artificial Intelligence AI-METH 2003, 67-68, Gliwice, Poland, 2003.
  40. T. Kapuscinski, W. Szydelko, M. Wysocki, Controlling devices in the smart home using hands gestures, Mat. XIV KKA, Zielona Gora 2002, T2, 951-954 (in Polish).
  41. T. Kapuscinski, M. Wysocki: Hand skin color identification in different color spaces, Archiwum Informatyki Teoretycznej i Stosowanej, Tom 13, z. 1, 53-68, 2001 (in Polish).
  42. T. Kapuscinski, M. Wysocki: Hand gesture recognition for man-machine interaction, Proc. of the 2nd International Workshop on Robot Motion and Control RoMoCo'01, 91-96, Bukowy Dworek, Poland, 2001.
  43. J. Marnik, T. Kapuscinski, M. Wysocki: Recognition of Human Skin on Digital Images, Mat. V KKNT Diagnostyka Procesow Przemyslowych, 279-282, Lagow Lubuski, 2001 (in Polish).
  44. J. Marnik, T. Kapuscinski, M. Wysocki: Polish Finger Alphabet Signs Recognition, 45th International Scientific Colloquium Ilmenau Technical University, 61-66, Ilmenau, Germany, 2000.
  45. T. Kapuscinski, J. Marnik, M. Wysocki: Problems of Hand Gesture Recognition, Pomiary, Automatyka, Kontrola 8/99, 22-25, 1999.
  46. M. Wysocki, T. Kapuscinski: Tuning the controller for mobile robot that follows paths observed by onboard camera, Pomiary, Automatyka, Robotyka, 5/99, 5-7, 1999 (in Polish).
  47. D. Hall, C. Le Gal, J. Martin, O. Chomat, T. Kapuscinski, J. L. Crowley: Magic Board: A Contribution to an Intelligent Office Environment, 7th International Symposium on Intelligent Robotic Systems (SIRS'99), 215-224, Coimbra, Portugal, 1999.
  48. B. Kwolek, T. Kapuscinski, M. Wysocki: Vision-based implementation of feedback control of unicycle robots, Proceedings of the First Workshop on Robot Motion and Control RoMoCo'99, 101-106, Kiekrz, 1999.
  49. M. Wysocki, T. Kapuscinski, B. Kwolek: Visual Feedback Design for Mobile Robot Control, Pomiary, Automatyka, Robotyka 7/8, 13-15, 1998 (in Polish).
  50. T. Kapuscinski: Programming the TMS320C50 signal processor for vision feedback control, Pomiary Automatyka Kontrola 11/98, 410-414, 1998.