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Car recognition for multiple data sets based on histogram of oriented gradients and support vector machines

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1 Author(s)
Ilias Kamal ; Equipe RITM, ENSIAS B.P. 713, Université Mohammed V, Souissi, Rabat-Morocco

In this paper we implement a soft margin support vector machine (SVM) using linear and nonlinear kernels for image classification. The sequential minimal optimization (SMO) method will be used to find the optimal separating hyperplane between the training data that consist of a multidimensional histogram of oriented gradient (HOG) features vectors extracted from multiple data sets.

Published in:

Multimedia Computing and Systems (ICMCS), 2012 International Conference on

Date of Conference:

10-12 May 2012