Abstract
This paper has proposed a new texture-based method to find a specific person. A spike neural network is constructed to extract texture features. The network is constructed using integrate-and-fire neuron model, and it has behaviors similar to the Gabor filters. The person image is divided into three parts: head, torso and leg. Three parts of texture features are extracted by means of this network. BP neural network and multi-class Support Vector Machine are used as classifiers. CUDA technology is applied in the experiment, which greatly reduces the computation time.
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Wang, X., Wu, Q., Lin, X., Zhuo, Z. (2014). Finding Specific Person Using Spiking Neural Network Based on Texture Features. 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_54
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DOI: https://doi.org/10.1007/978-3-319-09333-8_54
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09332-1
Online ISBN: 978-3-319-09333-8
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