Shadow removal based on gray correlation analysis and sobel edge detection algorithm

Authors:
Feng Ji;Xinbo Gao;Zheng Dang;Songyun Xie
Affiliations:
School of Electronic Engineering, Xidian University, Xi'an, P.R. China;School of Electronic Engineering, Xidian University, Xi'an, P.R. China;Northwestern Polytechnical University, School of Electronics and Information, Xi'an, P.R. China;Northwestern Polytechnical University, School of Electronics and Information, Xi'an, P.R. China
Venue:
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Year:
2011

Citing 3
Cited 0

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Abstract

Nowadays, moving target detection plays an important part in our daily life. Time consuming and detective accuracy are concerned. Gray correlation analysis, which has been proved to be used in moving object detection, really has a high accuracy. But, this higher accuracy often brings cast shadow disturbance and it is always misclassified as part of moving target. In order to solve this problem, an efficient cast shadow removal method using Sobel edge detection algorithm in moving target detection is proposed in this paper. The experiments show this method can remove the cast shadow efficiently and it can be used in real-time processing.