Papers › Car Type Recognition with Deep Neural Networks
Car Type Recognition with Deep Neural Networks
Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen
In this paper we study automatic recognition of cars of four types: Bus, Truck, Van and Small car. For this problem we consider two data driven frameworks: a deep neural network and a support vector machine using SIFT features. The accuracy of the methods is validated with a database of over 6500 images, and the resulting prediction accuracy is over 97 %. This clearly exceeds the accuracies of earlier studies that use manually engineered feature extraction pipelines.
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