TY  - JOUR
ID  - SisLab4480
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4480/
IS  - 1
A1  - Nguyen, Duc Thao
A1  - Nguyen, Viet Anh
A1  - Le, Thanh Ha
A1  - Ngo, Thi Duyen
Y1  - 2021///
N2  - With the development of virtual reality (VR) technology and its applications in many fields, creating simulated hands in the virtual environment is an e ective way to replace the controller as well as to enhance user experience in interactive processes. Therefore, hand tracking problem is gaining a lot of research attention, making an important contribution in recognizing hand postures as well as tracking hand motions for VR?s input or human machine interaction applications. In order to create a markerless real-time hand tracking system suitable for natural human machine interaction, we propose a new method that combines generative and discriminative methods to solve the hand tracking problem using a single RGBD camera. Our system removes the requirement of the user having to wear to color wrist band and robustifies the hand localization even in di cult tracking scenarios.
PB  - VNU
JF  - VNU Journal of Science: Computer Science and Communication Engineering
VL  - 37
SN  - 2588-1086
TI  - Robustify Hand Tracking by Fusing Generative and Discriminative Methods
AV  - none
ER  -