@ARTICLE{Grzejszczak_Tomasz_Tracking_2020,
 author={Grzejszczak, Tomasz and Molle, Reinhard and Roth, Robert},
 volume={vol. 30},
 number={No 1},
 journal={Archives of Control Sciences},
 pages={101-122},
 howpublished={online},
 year={2020},
 publisher={Committee of Automatic Control and Robotics PAS},
 abstract={The field of research of this paper combines Human Computer Interface, gesture recognition and fingertips tracking. Most gesture recognition algorithms processing color images are unable to locate folded fingers hidden inside hand contour. With use of hand landmarks detection and localization algorithm, processing directional images, the fingertips are tracked whether they are risen or folded inside the hand contour. The capabilities of the method, repeatibility and accuracy, are tested with use of 3 gestures that are recorded on the USB camera. Fingertips are tracked in gestures presenting a linear movement of an open hand, finger folding into fist and clenched fist movement. In conclusion, a discussion of accuracy in application to HCI is presented.},
 type={Article},
 title={Tracking of dynamic gesture fingertips position in video sequence},
 URL={http://journals.pan.pl/Content/115850/PDF/ACS-2020-1-5.pdf},
 doi={10.24425/acs.2020.132587},
 keywords={hand landmarks, tracking, fingertip detection, hand gesture, gesture recognition, HMI, HCI},
}