List

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. The project main focus is the development of algorithms based on computer vision and machine learning for video analytics considering Internet of Things (IoT) scenarios. Several problems in the surveillance and biometric domains will be addressed in this project, including vehicle recognition and person detectiontracking, and identification, research topics studied by the Smart Surveillance Interest Group.

The development of this R&D project will contribute to the Smart Surveillance Interest Group achieve one of its goals – bridge the gap between academic research and practical applications to foster new technologies to generate benefits to society.

External links (pt-BR):

  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.