The objectives of this research work are:
- Evaluate state-of-the-art technologies for speaker recognition.
- Investigate multimodal fusion techniques.
- Develop and test a prototype of a speaker recognition system.
- Integrate speaker recognition into the face recognition prototype existing in Computer Vision Laboratory – LVC.
The main objective of INTERSAR is to develop in the scope of InterIMAGE, a free open source software platform for GEOBIA applications, methodologies, algorithms and computational tools for automatic Land Use and Land Cover classification upon optical and SAR (synthetic aperture radar) data.
Read more at INTERSAR Project
The general objective of the RADAR MONITOR project is to provide solutions for the systematic monitoring of changes on the Earth’s surface from remote sensing images, with emphasis on data provide by space born SAR (Synthetic-aperture radar) sensors. More precisely, the Project aims to extend the InterIMAGE platform, by incorporating specific software operators for the multitemporal analysis of SAR as well as optical data.
The Brazilian Visualization Network (RVA), whose general coordination is under the Brazilian National Laboratory of Scientific Computation (LNCC), is part of the Brazilian Technology System (SIBRATEC) of the Ministry of Science, Technology and Information (MCTI). The RVA aims at the integration of the academy to foster the innovation and creation of new markets for technological products and services. Beyond LNCC, the RVA involves the following institutions: PUC-Rio, PUC-RS, UFRS, UFPE, UFPB, INPE, USP, UFRJ e UNICAMP, whereby LNCC, UFRJ, PUC-RS, UFPE, USP and PUC-Rio constitute the so called Coordination Nucleus of RVA.
The project “Tools for Open Multi-Risk Assessment using Earth Observation Data” (TOLOMEO) is funded under the Marie Curie International Research Staff Exchange Scheme (PIRSES-GA-2009) with the ultimate goal to establish an international cooperation between partners in Europe and South-America focused on the development of free tools for remotely sensed data analysis.
Read more at TOLOMEO
This project aims to develop technology of video surveillance with automatic facial identification, developing facial recognition techniques from video sequences that integrate methods and tools that allow:
- To detect and track faces in real time based on video sequences,
- To extract frontal facial images in real time based on video sequences, with good quality for recognition,
- To build a prototype of automatic video monitoring.
Read more at Video Surveillance
An open source knowledge based framework for automatic image interpretation.
Read more at InterIMAGE