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The 2nd DeepEyes Workshop was held at UFMG Campus in October 03, 2016. Counting with around 70 people, including researchers such as Larry S. Davis (University of Maryland), François Bremond (INRIA), Eduardo Valle (Unicamp), Sandra Ávila, Filipe Costa, William Robson Schwartz (UFMG), were presented and discussed advances achieved in the previous year of the project in problems such as forgery detection on digital image and videos, detection of illegal crops from remote sensing images, development of techniques for human identification based on facial information, and activity analysis from digital videos. It was a great opportunity to exchange ideas and start new collaborations with researchers in the video surveillance and the computer forensics communities.

Criminal activities might vary in complexity and scope, but they are spread in the society. With to the technological development, crimes have become more sophisticate and not only afflicting the physical world, but also the virtual world. Due to the countless ways the illegal activities may be performed, our society needs to pursue new techniques to solving and preventing such activities. To that, we need objective criteria to identify characteristics in the crime scenes or prevent crimes from happening by taking effective measures thought electronic surveillance. Facing such challenges, this project, sponsored by CAPES and within the Pro-Forenses Program, aims at the development of visual computing and machine learning algorithms related to the computer forensics and surveillance.

  Posts

August 26th, 2017

Face Verification based on Relational Disparity Features and Partial Least Squares Models

Face recognition has been one of the most important tasks in computer vision due to the wide range of applications. One of the face recognition tasks, the face verification is responsible for  determining whether two facial images belong to the same subject or are from different subjects. In this paper, that will be presented in the Conference on Graphics, Patterns and Images (SIBGRAPI 2017), we exploit the differences between pairs of images and the diversity generated by multiple classifiers to perform face verification.

July 20th, 2017

Towards Open-Set Face Recognition using Hashing Functions (Best Paper Runner-up Award IJCB 2017)

The problem of open-set face recognition determines whether the subject’s picture presented to the recognition system belongs to a known individual (person in the gallery). This problem is of great importance to find suspects in public environment. In this paper, that will be presented in The International Joint Conference on Biometrics (IJCB 2017), we combine hashing functions and classification methods to find out when probe samples are known.

June 10th, 2017

R&D Project – Video Analytics Solutions

The Smart Surveillance Interest Group started early this month the execution of a R&D project as a partnership with Maxtrack, a Minas Gerais based company leader in vehicle tracking and telemetry, through EMBRAPII DCC/UFMG.

October 10th, 2016

2nd DeepEyes Workshop

The 2nd DeepEyes Workshop was held at UFMG Campus in October 03, 2016. Counting researchers such as Larry S. Davis (University of Maryland), François Bremond (INRIA), Eduardo Valle (Unicamp), Sandra Ávila, Filipe Costa, William Robson Schwartz (UFMG), were presented and discussed advances achieved in the previous year of the project.