Jessica Sena represents the Smart Sense Laboratory at the EUSIPCO conference in Italy

Last week, Rome was the venue for the 26th edition of the European Signal Processing Conference, EUSIPCO 2018, and Sense’s researcher Jessica Sena was there to present her work on Deep Convolutional Neural Networks (DCNN) applied to human activity recognition based on wearable sensors. The conference, which is currently assigned a Qualis A2 score (the second highest) by the Brazilian Coordination for Improvement of Higher Education Personnel (CAPES), was held September 3-7 and brought together leading researchers from the four corners of the globe.… Read more

Researcher Rensso Colque gets Ph.D.’s degree in Computer Science

Rensso Mora Colque obtained this Friday (24) his Ph.D. title by the Graduate Program in Computer Science of the Federal University of Minas Gerais (UFMG). His dissertation, “Robust approaches for anomaly detection applied to video surveillance”, was guided by Sense head, professor William Robson Schwartz and proposed three approaches to detect anomalous patterns in surveillance video sequences.

A topic that attracted significant research interest in recent years, anomaly detection is a hard problem due to the dependency of the characteristics and the context of a specific scene and although many contexts could be similar, the evets that can be considered anomalous are infinity and cannot be learned beforehand.… Read more

Sense researchers make advances in controlling active cameras

                                             

Unlike fixed cameras, statically positioned to better capture a global view of the scene, active cameras or PTZs (pan-tilt-zoom) have a feature that allows them to move on the axis itself in the vertical, horizontal and zoom directions. In the scope of surveillance, PTZs are useful in viewing targets away from the fixed camera, such as people, car plates, abandoned objects in public places, moving targets and objects the person is carrying.… Read more

Job opportunity for developers on a project in parnership with Petrobras

The SSIG is looking for developers to work on a Research and Development project in partnership with Petrobras S.A.

The applicant will work on the development of a distributed, scalable smart video-surveillance system with real-time requirements using cutting-edge technologies to provide a high-performance system able to analyze the scene and provide a secure environment to the workers.

We are hiring in the CLT regime with salary compatible with market standards, to work in Belo Horizonte city.Read more

SSIG offers masters scolarship on a project with Petrobras

The Smart Surveillance Interest Group offers a masters scholarship to work on the problem of active cameras in a large Research and Development project in partnership with Petrobras.

The problem with Active Cameras is to control and coordinate a large set of cameras in order to capture visual data with a greater level of detail. For this, computer vision, machine learning and distributed systems techniques are used to coordinate a system composed of two types of cameras: fixed and active.… Read more

Best Paper Runner-up Award – IJCB 2017

SSIG paper Towards Open-Set Face Recognition using Hashing Functions received the Best Paper Runner-up Award in the International Joint Conference on Biometrics (IJCB 2017). This paper tackles open-set face identification. 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.… Read more

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. 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.… Read more

2nd DeepEyes Workshop

IMG_1017_2The 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.… Read more

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