Car recognition using the bag of features method

TitreCar recognition using the bag of features method
Publication TypeConference Paper
Year of Publication2017
AuthorsKamal, I, Oubaha, J
Conference NameInternational Conference on Multimedia Computing and Systems -Proceedings
Abstract

In this paper, we apply the bag of features method to the car make and model recognition problem. In our implementation of the method, we use the LARS algorithm to optimize the quadratic problem known as the Lasso and by doing so we generate the dictionary of words. That dictionary is then used in conjuction to an image database to obtain a feature vector (each image yields one feature vector), said feature vector is then fed to an supervised classification algorithm (in our case an SVM). © 2016 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85019159309&doi=10.1109%2fICMCS.2016.7905554&partnerID=40&md5=7fed66861fc86215dbdbd5a09e4f7f6b
DOI10.1109/ICMCS.2016.7905554
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