Vehicle logo detection using convolutional neural network and pyramid of histogram of oriented gradients

@article{Thubsaeng2014VehicleLD,
  title={Vehicle logo detection using convolutional neural network and pyramid of histogram of oriented gradients},
  author={Wasin Thubsaeng and Aram Kawewong and Karn Patanukhom},
  journal={2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE)},
  year={2014},
  pages={34-39}
}
This paper presents a new method for vehicle logo detection and recognition from images of front and back views of vehicle. The proposed method is a two-stage scheme which combines Convolutional Neural Network (CNN) and Pyramid of Histogram of Gradient (PHOG) features. CNN is applied as the first stage for candidate region detection and recognition of the vehicle logos. Then, PHOG with Support Vector Machine (SVM) classifier is employed in the second stage to verify the results from the first… CONTINUE READING

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