Framework comparison of neural networks for automated counting of vehicles and pedestrians

Conference Object

Abstract: This paper presents a comparison of three neural network frameworks used to make volumetric counts i

Palabras claves:

automatic counter, classification, convolutional neural networks, learning transfer, MOBILENET, Single Shot Detector, tracking

Autores:

Andrés Hebkp_redia, Fátima Farías, Galo Lalangui, Jessica Guerrero, Jorge Cordero, Juan Gabriel Barros G., Luis Barba-Guaman, Nancy Loja, Omar Ruiz-Vivanco, Wilmer Rivas Asanza

Fuentes:

scopus