Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution

  • Jeong, Jongmyeon (Dept. of Computer Engineering at Mokpo National Maritime University) ;
  • Choi, Jiyun (Graduate School of Mokpo National Maritime University)
  • Received : 2018.01.31
  • Accepted : 2018.10.15
  • Published : 2018.11.30
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Abstract

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.

Keywords

CPTSCQ_2018_v23n11_51_f0001.png 이미지

Fig. 1. Background modeling in laboratory environment

CPTSCQ_2018_v23n11_51_f0002.png 이미지

Fig. 2. Background modeling in real CCTV

CPTSCQ_2018_v23n11_51_f0003.png 이미지

Fig. 3. Background modeling including stationary objects

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