OPEN ACCESS
Advanced driver assistance systems and outdoor video surveillance very often need to classify the detected objects/obstacles. In this context several works have presented and have tested some graph-based methods. Motivated by the prominence of deep neural networks, which surpass the performance of the previous dominating paradigm, we are going to apply him in the classification of images by using the local binary pattern (LBP) histograms, to our knowledge, our work is the only one to propose this conduct. We go to see that the results are very promising besides the fact that the construction of such a model is possible also in a massive data context.
deep learning, deep feedforward neural network, local binary pattern histogram, classification
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