Classification of Vehicle Images through Deep Neural Networks for Camera View Position Selection
Cuauhtemoc Mariscal-Garcia, Wendy Flores‐Fuentes, Daniel Hernández Balbuena, Julio Cesar Rodriguez-Quinonez, Oleg Sergiyenko, Felix Fernando Gonzalez-Navarro, Jesus Elias Miranda-Vega · 2020
This paper shows the experimentation for the classification of vehicle images by artificial vision creating a deep neural network model using Keras and Tensorflow libraries with Python language, a machine learning algorithm. The results are used to select the best camera position to record the vehicular traffic to identify the highway occupancy.