Diseño y desarrollo de un sistema prototipo de videovigilancia empleando visión por computador y aprendizaje automático

Abstract

The project consists in using a pedestrian detection method, which would be the main objective in any video surveillance event, and with the help of a binary dataset, train a convolutional neural network in order to let the computer distinguish between the two defined classes based on features.