NUI is a motion interface. It uses the body of the user without the use of HID device such as a mouse and keyboard to control the device. In this paper, we use a Pi Camera and sensors connected to it with small embedded board Raspberry Pi. We are using the OpenCV algorithms optimized for image recognition and computer vision compared with traditional HID equipment and to implement a more human-friendly and intuitive interface NUI devices. comparison operation detects motion, it proposed a more advanced motion sensors and recognition systems fused connected to the Raspberry Pi.
@article{ART002083098}, author={BAEK, Yeong Tae and SeHoon Lee and Ji-Seong Kim}, title={Design of OpenCV based Finger Recognition System using binary processing and histogram graph}, journal={Journal of The Korea Society of Computer and Information}, issn={1598-849X}, year={2016}, volume={21}, number={2}, pages={17-23}
TY - JOUR AU - BAEK, Yeong Tae AU - SeHoon Lee AU - Ji-Seong Kim TI - Design of OpenCV based Finger Recognition System using binary processing and histogram graph JO - Journal of The Korea Society of Computer and Information PY - 2016 VL - 21 IS - 2 PB - The Korean Society Of Computer And Information SP - 17 EP - 23 SN - 1598-849X AB - NUI is a motion interface. It uses the body of the user without the use of HID device such as a mouse and keyboard to control the device. In this paper, we use a Pi Camera and sensors connected to it with small embedded board Raspberry Pi. We are using the OpenCV algorithms optimized for image recognition and computer vision compared with traditional HID equipment and to implement a more human-friendly and intuitive interface NUI devices. comparison operation detects motion, it proposed a more advanced motion sensors and recognition systems fused connected to the Raspberry Pi. KW - OpenCV;Gesture Recognition;Area Detection;NUI DO - UR - ER -
BAEK, Yeong Tae, SeHoon Lee and Ji-Seong Kim. (2016). Design of OpenCV based Finger Recognition System using binary processing and histogram graph. Journal of The Korea Society of Computer and Information, 21(2), 17-23.
BAEK, Yeong Tae, SeHoon Lee and Ji-Seong Kim. 2016, "Design of OpenCV based Finger Recognition System using binary processing and histogram graph", Journal of The Korea Society of Computer and Information, vol.21, no.2 pp.17-23.
BAEK, Yeong Tae, SeHoon Lee, Ji-Seong Kim "Design of OpenCV based Finger Recognition System using binary processing and histogram graph" Journal of The Korea Society of Computer and Information 21.2 pp.17-23 (2016) : 17.
BAEK, Yeong Tae, SeHoon Lee, Ji-Seong Kim. Design of OpenCV based Finger Recognition System using binary processing and histogram graph. 2016; 21(2), 17-23.
BAEK, Yeong Tae, SeHoon Lee and Ji-Seong Kim. "Design of OpenCV based Finger Recognition System using binary processing and histogram graph" Journal of The Korea Society of Computer and Information 21, no.2 (2016) : 17-23.
BAEK, Yeong Tae; SeHoon Lee; Ji-Seong Kim. Design of OpenCV based Finger Recognition System using binary processing and histogram graph. Journal of The Korea Society of Computer and Information, 21(2), 17-23.
BAEK, Yeong Tae; SeHoon Lee; Ji-Seong Kim. Design of OpenCV based Finger Recognition System using binary processing and histogram graph. Journal of The Korea Society of Computer and Information. 2016; 21(2) 17-23.
BAEK, Yeong Tae, SeHoon Lee, Ji-Seong Kim. Design of OpenCV based Finger Recognition System using binary processing and histogram graph. 2016; 21(2), 17-23.
BAEK, Yeong Tae, SeHoon Lee and Ji-Seong Kim. "Design of OpenCV based Finger Recognition System using binary processing and histogram graph" Journal of The Korea Society of Computer and Information 21, no.2 (2016) : 17-23.