Fast moving target detection based on gray correlation analysis and background subtraction

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

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Abstract

Nowadays, a higher accuracy with lower time consuming detection method is required extremely. To achieve that, a moving target detection method based on gray correlation analysis and background subtraction is proposed in this paper. It mixes them together in order to improve the quality of the results. From the experiments, the method shows a much higher accuracy of detection and lower time consuming. In addition, the algorithm is insensitive to noise and the shadow, and can be used in real-time processing.