DocumentCode
3543320
Title
Car recognition for multiple data sets based on histogram of oriented gradients and support vector machines
Author
Kamal, Ilias
Author_Institution
Equipe RITM, Univ. Mohammed V, Rabat, Morocco
fYear
2012
fDate
10-12 May 2012
Firstpage
328
Lastpage
332
Abstract
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.
Keywords
feature extraction; image classification; image recognition; optimisation; support vector machines; HOG; SMO method; SVM; car recognition; features vectors extraction; histogram of oriented gradients; image classification; linear kernels; multidimensional histogram of oriented gradient; nonlinear kernels; sequential minimal optimization method; soft margin support vector machine; Support vector machines; Testing; Support vector machines; histogram of oriented gradients; machine learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Computing and Systems (ICMCS), 2012 International Conference on
Conference_Location
Tangier
Print_ISBN
978-1-4673-1518-0
Type
conf
DOI
10.1109/ICMCS.2012.6320284
Filename
6320284
Link To Document