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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

dynamic gesture recognition, IPTV, hardware accelerator, FNN classifier.

Cite This Article

. , "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.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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