Open Access
ARTICLE
Hardware Design of Codebook‐Based Moving Object Detecting Method for Dynamic Gesture Recognition
Ching‐Han Chena, Ching‐Yi Chenb, Nai‐Yuan Liua
a Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan, ROC
b Department of Information and Telecommunications Engineering, Ming Chuan University, Taoyuan, Taiwan, ROC
* Corresponding Author: Ching‐Han Chen,
Intelligent Automation & Soft Computing 2019, 25(2), 375-384. https://doi.org/10.31209/2019.100000099
Abstract
This study introduces a dynamic gesture recognition system applicable in IPTV
remote control. In this system, we developed a hardware accelerator for realtime moving object detection. It is able to detect the position of hand block in
each frame at high speed. After acquiring the information of hand block, the
system can capture the robust dynamic gesture feature with the moving trail of
hand block in the continuous images, and input to FNN classifier for starting
recognition process. The experimental results show that our method has a good
recognition performance, and more applicable to real gesture-controlled
human-computer interactive environment.
Keywords
Cite This Article
C. Chen, C. Chen and N. Liu, "Hardware design of codebook‐based moving object detecting method for dynamic gesture recognition,"
Intelligent Automation & Soft Computing, vol. 25, no.2, pp. 375–384, 2019. https://doi.org/10.31209/2019.100000099