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@article{ART002406743},
author={Jeong, Jong Myeon and Jiyun Choi},
title={Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2018},
volume={23},
number={11},
pages={51-57},
doi={10.9708/jksci.2018.23.11.051}

TY - JOUR
AU - Jeong, Jong Myeon
AU - Jiyun Choi
TI - Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution
JO - Journal of The Korea Society of Computer and Information
PY - 2018
VL - 23
IS - 11
PB - The Korean Society Of Computer And Information
SP - 51
EP - 57
SN - 1598-849X
AB - In this paper, we studied about the extraction of the parameter and implementation of speechreading system to recognize the Korean 8 vowel. Face features are detected by amplifying, reducing the image value and making a comparison between the image value which is represented for various value in various color space. The eyes position, the nose position, the inner boundary of lip, the outer boundary of upper lip and the outer line of the tooth is found to the feature and using the analysis the area of inner lip, the hight and width of inner lip, the outer line length of the tooth rate about a inner mouth area and the distance between the nose and outer boundary of upper lip are used for the parameter. 2400 data are gathered and analyzed. Based on this analysis, the neural net is constructed and the recognition experiments are performed. In the experiment, 5 normal persons were sampled. The observational error between samples was corrected using normalization method. The experiment show very encouraging result about the usefulness of the parameter.
KW - Background Modeling;Gaussian Multiple Model(GMM);Foreground Detection;Video Surveillance System
DO - 10.9708/jksci.2018.23.11.051
ER -

Jeong, Jong Myeon and Jiyun Choi. (2018). Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution. Journal of The Korea Society of Computer and Information, 23(11), 51-57.

Jeong, Jong Myeon and Jiyun Choi. 2018, "Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution", Journal of The Korea Society of Computer and Information, vol.23, no.11 pp.51-57. Available from: doi:10.9708/jksci.2018.23.11.051

Jeong, Jong Myeon, Jiyun Choi "Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution" Journal of The Korea Society of Computer and Information 23.11 pp.51-57 (2018) : 51.

Jeong, Jong Myeon, Jiyun Choi. Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution. 2018; 23(11), 51-57. Available from: doi:10.9708/jksci.2018.23.11.051

Jeong, Jong Myeon and Jiyun Choi. "Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution" Journal of The Korea Society of Computer and Information 23, no.11 (2018) : 51-57.doi: 10.9708/jksci.2018.23.11.051

Jeong, Jong Myeon; Jiyun Choi. Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution. Journal of The Korea Society of Computer and Information, 23(11), 51-57. doi: 10.9708/jksci.2018.23.11.051

Jeong, Jong Myeon; Jiyun Choi. Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution. Journal of The Korea Society of Computer and Information. 2018; 23(11) 51-57. doi: 10.9708/jksci.2018.23.11.051

Jeong, Jong Myeon, Jiyun Choi. Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution. 2018; 23(11), 51-57. Available from: doi:10.9708/jksci.2018.23.11.051

Jeong, Jong Myeon and Jiyun Choi. "Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution" Journal of The Korea Society of Computer and Information 23, no.11 (2018) : 51-57.doi: 10.9708/jksci.2018.23.11.051