Challenges Of Computer Vision In Smart Surveillance And Biometrics

Time
Place
Sede FGV - Sala 317

About Event

  • Quem: William Robson Schwartz (UFMG)
  • Onde: Praia de Botafogo, 190 - sala 537
  • Quando: 25 de Julho de 2019 às 16h

Computer vision and machine learning techniques applied to video surveillance and biometrics have been investigated for several years aiming at finding accurate and efficient solutions to allow the execution of smart surveillance systems in real environments. Aiming at the analysis of the scene to recognize and understand suspicious activities performed by humans in the scene, video surveillance and biometrics still face several challenges. These include the large amount of data that need to be processed, the low quality of the acquired data due to the small size of the objects in the videos, and the strong relationship between the problems in this domain, in which the usage of a poor solution to solve one problem might affect the solution of other problems. In this talk, I will discuss the main challenges and present some on-going research related to video surveillance and biometrics.

*Texto informado pelo autor. 

 

OBSERVAÇÃO PARA VISITANTES: 

A presença é gratuita e não exige confirmação. A FGV não permite a entrada de pessoas vestindo bermuda e/ou chinelos.

Speakers

William Robson Schwartz

Associate Professor in the Department of Computer Science at the Federal University of Minas Gerais

William Robson Schwartz is an Associate Professor in the Department of Computer Science at the Federal University of Minas Gerais, Brazil. He received his BSc and MSc degrees in Computer Science from the Federal University of Parana, Curitiba, Brazil in 2003 and 2005, respectively. He received his PhD degree in Computer Science from the University of Maryland, College Park, USA in 2010, with a CAPES/Fulbright scholarship. Then, he spent one year in the Institute of Computing at the University of Campinas as a Postdoctoral researcher. His research interests include Computer Vision and Machine Learning applied to Video Surveillance, Computer Forensics and Biometrics. He is also the head of the Smart Sense Laboratory , which focuses mainly on large-scale surveillance based on visual and sensor data. In addition, he advises several MSc and PhD students and he has worked as the principal investigator in projects sponsored by public agencies such as CAPES, CNPq and FAPEMIG, and by companies such as Petrobras, Samsung, Hewlett-Packard, Localiza and Maxtrack. He is recipient of the CNPq Productivity Fellowship since 2013 and the Minas State researcher since 2015, and associate editor for the IEEE Transactions on Information Forensics and Security and serves in the TPC for several conferences.

Location

Sede FGV - Sala 317

Praia de Botafogo, 190

Botafogo

Rio de Janeiro

Endereço

Praia de Botafogo, 190

Botafogo

Rio de Janeiro

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