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@article{ART002339668},
author={Jae-Yun Choi},
title={A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2018},
volume={23},
number={4},
pages={65-70},
doi={10.9708/jksci.2018.23.04.065}

TY - JOUR
AU - Jae-Yun Choi
TI - A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter
JO - Journal of The Korea Society of Computer and Information
PY - 2018
VL - 23
IS - 4
PB - The Korean Society Of Computer And Information
SP - 65
EP - 70
SN - 1598-849X
AB - This paper describes a effective information compressor algorithm for the fourth industrial technology. One of the difficult problems for outdoor is to obtain effective updating process of background images. Because input images generally contain the shadows of buildings, trees, moving clouds and other objects, they are changed by lapse of time and variation of illumination. They provide the lowering of performance for surveillance system under outdoor. In this paper, a effective information algorithm for variable environment variable under outdoor is proposed, which apply the Kalman Estimation Modeling and adaptive threshold on pixel level to separate foreground and background images from current input image. In results, the better SNR of about 3dB~5dB and about 10%~25% noise distribution rate in the proposed method. Furthermore, it was showed that the moving objects can be detected on various shadows under outdoor and better result Information.
KW - compressor algorithm;moving objects;adaptive threshold;Kalman Filter
DO - 10.9708/jksci.2018.23.04.065
ER -

Jae-Yun Choi. (2018). A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter. Journal of The Korea Society of Computer and Information, 23(4), 65-70.

Jae-Yun Choi. 2018, "A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter", Journal of The Korea Society of Computer and Information, vol.23, no.4 pp.65-70. Available from: doi:10.9708/jksci.2018.23.04.065

Jae-Yun Choi "A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter" Journal of The Korea Society of Computer and Information 23.4 pp.65-70 (2018) : 65.

Jae-Yun Choi. A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter. 2018; 23(4), 65-70. Available from: doi:10.9708/jksci.2018.23.04.065

Jae-Yun Choi. "A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter" Journal of The Korea Society of Computer and Information 23, no.4 (2018) : 65-70.doi: 10.9708/jksci.2018.23.04.065

Jae-Yun Choi. A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter. Journal of The Korea Society of Computer and Information, 23(4), 65-70. doi: 10.9708/jksci.2018.23.04.065

Jae-Yun Choi. A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter. Journal of The Korea Society of Computer and Information. 2018; 23(4) 65-70. doi: 10.9708/jksci.2018.23.04.065

Jae-Yun Choi. A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter. 2018; 23(4), 65-70. Available from: doi:10.9708/jksci.2018.23.04.065

Jae-Yun Choi. "A Study on a effective Information Compressor Algorithm for the variable environment variation using the Kalman Filter" Journal of The Korea Society of Computer and Information 23, no.4 (2018) : 65-70.doi: 10.9708/jksci.2018.23.04.065