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.
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© 2011 Springer-Verlag Berlin Heidelberg
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Dang, Z., Xie, S., Wang, G., Raza, F. (2011). Fast Moving Target Detection Based on Gray Correlation Analysis and Background Subtraction. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21090-7_46
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DOI: https://doi.org/10.1007/978-3-642-21090-7_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21089-1
Online ISBN: 978-3-642-21090-7
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