Abstract
In this paper a target people recognition algorithm is proposed, in which the color processing mechanism is inspired by the biological visual system. The algorithm is constructed in two parts. In the first part a spiking neural network is proposed to extract the color features of the objects which are captured from videos. In the second part, after a feature reduction, a Support Vector Machine is used to fuse the color features and recognize the target. The algorithm has been successfully applied to recognize target people appeared in video sequence with a high recognition rate and suitable for generic recognition domain.
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Lin, X., Wu, Q., Wang, X., Zhuo, Z., Zhang, G. (2014). Moving People Recognition Algorithm Based on the Visual Color Processing Mechanism. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_53
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DOI: https://doi.org/10.1007/978-3-319-09333-8_53
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09332-1
Online ISBN: 978-3-319-09333-8
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