Reduced computational cost prototype for street theft detection based on depth decrement in Convolutional Neural Network. Application to Command and Control Information Systems (C2IS) in the National Police of Colombia.

Reduced computational cost prototype for street theft detection based on depth decrement in Convolutional Neural Network. Application to Command and Control Information Systems (C2IS) in the National Police of Colombia.

This paper shows the implementation of a prototype of street theft detector using the deep learning technique R-CNN (Region-Based Convolutional Network), applied in the Command and Control Information System (C2IS) of National Police of Colombia, the prototype is implemented using three models of CN...

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Bibliographic Details
Main Authors: Julio Suarez-Paez, Mayra Salcedo-Gonzalez, M. Esteve, J.A. Gómez, C. Palau, I. Pérez-Llopis
Format: Article
Language:English
Published: Atlantis Press 2018-11-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Deep Learning
R-CNN
AlexNet
VGG16
VGG19
CNN (Convolutional Neural Network)
Online Access:https://www.atlantis-press.com/article/25905186/view

Internet

https://www.atlantis-press.com/article/25905186/view

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