Banca de DEFESA: ALINE DOS SANTOS PEREIRA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : ALINE DOS SANTOS PEREIRA
DATE: 30/03/2023
TIME: 14:00
LOCAL: https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZDc2ODE2OTctOTJiMS00MzNhLWE5N2EtNGVjZDc4MTk4Z
TITLE:

Creating a dataset of missing people and automatic progression age using Machine Learning

KEY WORDS:

Machine Learning, Age progression, GANs

PAGES: 80
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUMMARY:

Within the last five year, in Brazil, an average of 200 people disappeared per day. When someone disappears, the policial authorities make a research about the person’s physical appearance. This research may result in a photography for divulgation purposes about the persons’s missing or a police sketch. Through the pass of time, theses portraits get outdated due to aging, specially in cases of missing children. There is a multitude of techniques for age progressing of all of the missing people. Brazilian’s legislation demands an update of the images of age progressing for all of the missing people. For those who are less than 18 years-old the update must be made every three year, and after 18 years-old every five years. However, there are a lot of factors that make this procedure difficult such as the volume of images and the absence of a database. These problems may be approached by using automation through machine’s learning, more specifically using Generative Adversarial Networks (GANs). For this purpose, a data bank of missing Brazilian citizens would be necessary. Even though there is Brazilian legislation instituting the unification of missing people’s information, including images, the Brazilian government and the authorities involved in this procedure are yet far from getting the final results imposed by law. This paper demonstrates how Brazilian authorities deal with missing people’s data and emphasizes the importance and urgency of a unified database. Furthermore, this paper demonstrates how the usage of new techniques of image’s manipulation may aid policial authorities during a missing investigation of children and teenagers. It was possible to demonstrate how the disappearances information is disseminated across the country. In addition, it was possible to obtain promising results in terms of accuracy between images generated by neural networks and to create an image database of Brazilian victims.

BANKING MEMBERS:
Externo à Instituição - MAURÍCIO DA SILVA SERCHELI - PCDF
Presidente - 1242752 - DANIEL CHAVES CAFE
Interno - 1226929 - DEMETRIO ANTONIO DA SILVA FILHO
Interno - 2363646 - RAFAEL RABELO NUNES