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Youssef Hadi
Faculty of Science, Ibn Tofail University
Computer Science & IT Engineering

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Online dictionary learning for car recognition using sparse coding and LARS Ilias Kamal; Khalid Housni; Youssef Hadi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1304.888 KB) | DOI: 10.11591/ijai.v9.i1.pp164-174

Abstract

The bag of feature method coupled with online dictionary learning is the basis of our car make and model recognition algorithm. By using a sparse coding computing technique named LARS (Least Angle Regression) we learn a dictionary of codewords over a dataset of Square Mapped Gradient feature vectors obtained from a densely sampled narrow patch of the front part of vehicles. We then apply SVMs (Support Vector Machines) and KMeans supervised classification to obtain some promising results.
Co-Authors Ilias Kamal Khalid Housni