About

Visual Environmental Monitoring: VEM.

One of the goals of the Visual Environmental Monitoring project (codename Marmota) is to furnish visitors to mountainous regions with a mobile tool which can offer them a real-time detailed knowledge of their surroundings. In order to do this we are trying to understand what is being seen through the lens of a camera.

The purpose of this blog is to show the results and the potential of our research. More details about this project can be found reading the web pages here.

Technologies of Vision Research Unit: TeV.

The TeV team at Fondazione Bruno Kessler – Information Technology (FBK – IT department) is actively involved in quality research on Computer Vision, Image Analysis, and visual Pattern Recognition. The main objective is to design and develop innovative techniques in the fields of semantic image labelling and dynamic scene understanding devoted to applicative topics, which mainly concern object detection and recognition, indexing and retrieval by content, multiple target tracking, gesture recognition, traffic monitoring.

Acknowledgements:

There are some people, data providers, and software projects that we’d like to acknowledge:

  • Jonathan de Ferranti of viewfinderpanoramas, for his incredible work of creating and sharing high quality DEMs of mountain regions and for some fruitful discussions.
  • Markus Neteler, for his invaluable advice during the initial phase of the project.
  • The CGIAR Consortium for Spatial Information (CGIAR-CSI): we use their SRTM 90m Digital Elevation Data.
  • The Geospatial Data Abstraction Library GDAL: a c++ library our software uses for translating raster geospatial data formats.
  • OpenStreetMap and GeoNames, which allow you to view, edit and use geographical data in a collaborative way from anywhere on Earth.

Contacts:

Feel free to contact us, we are more than happy to answer any question regarding our projects and technologies. Furthermore if you want to see your own photos labelled and added to our gallery, send us by email your geo-tagged images!