@Article{2019.100000099,
AUTHOR = {Ching‐Han Chen, Ching‐Yi Chen, Nai‐Yuan Liu},
TITLE = {Hardware Design of Codebook‐Based Moving Object Detecting Method  for Dynamic Gesture Recognition},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {2},
PAGES = {375--384},
URL = {http://www.techscience.com/iasc/v25n2/39665},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2019.100000099}
}