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RTD performers

Università di Genova - DISI, Genova, Italy (DISI)

The Department of Computer and Information Sciences (DISI) of the University of Genova, established in 1992, consists of 28 faculties, of which 12 women. DISI organises undergraduate and graduate programs in Computer Science and its main research areas include Formal Methods, Computer Graphics and Computational
Geometry, Computer Vision and Machine Learning, Object Oriented and Logic Programming, Performance Evaluation, Semantics and Logic, Databases and Information Systems, and Design and Implementation of Languages and Systems. DISI is engaged in many national and international research projects (including IPs, STREPs, and NoEs in the 6th Framework) and has strong links with industries and SMEs.
Expertise for the project The SLIPGURU (Statistical Learning and Image Processing Genova University
Research Unit) lead by Alessandro Verri is actively engaged in research on several aspects of learning and computer vision. The group has a solid and established international reputation. Currently it consists of 3 faculty, 8 post-docs, and 7 PhD students and participates in the Health-e-Child IP Project whose objective is the development of an integrated platform for European paediatrics based on a gridenabled network of leading clinical centres and the NoE PASCAL on theoretical and algorithmic aspects of learning.

Speed Poland Automation & Logistics Sp z.o.o. – Wrocław, Poland (SPE)

Speed Poland was established in 2004 to provide software and hardware engineering solutions for the automation of mechanical, electric and hydraulic devices and for the vision processes, specializing in applications for the logistic field. It employs 11 graduates with software or hardware specialisations, including senior engineers with
more than 15 years experience in the field.
Expertise for the project The company has expertise in developing software and hardware solutions for tracking and logistic solutions; vision systems for automatic inspections; vision systems for robot guidance; shipping and tracking processes; automation projects and control systems

SAT Simulations und Automations Technologie AG – Freiburg, Germany (SAT)

Established in 2005, SAT is a company operating world-wide in simulation and automation, dedicated to the systematic application of Discrete Event Simulation. The company aim is to improve the overall performance of the customer's business by increasing productivity, reducing costs and improving the overall efficiency of the system being simulated and analysed. SAT is structured according to four business units: Airport and Traffic Logistics, Supply Chain and Production, Warehouses and Distribution, Call Center and Business Processes.
Expertise for the project The company operates according to a strict simulation protocol, in order to optimise the
customer’s benefits. The stringent application of simulation supports efficiently planning and production of logistics systems. The simulation model is utilised along the complete life cycle of the system and is applied on a regular basis to be available at any time as a decision support tool for planning, operations and control. SAT team has a broad and successful record in efficient and successful modelling, simulation and optimisation of complex systems.

Imavis Srl – Bologna, Italy (IMA)

The company was established in 2000 as a spin-off company of Università di Bologna (Italy) by a group of scientific researchers and IT professionals. Today Imavis is a well established software development company with headquarters in Bologna. The group of developers is constantly growing and at present is composed of 10 people with diversified education qualifications and background: six computer scientists, three engineers, and a web and graphics designer. Since 2002 Imavis is on the market with video-surveillance software and hardware products.
Expertise for the project The company focuses on security, with a reference to video-surveillance applications. The core business is the design and the development of products and solutions that follow and anticipate the market needs. The degree of innovation of Imavis solutions is the result of a winning combination of the company R&D activity and the tight collaboration with academic research groups. In the last few years Imavis R&D activity was dedicated to the development of video analysis algorithms including abandoned objects detection, traffic monitoring, automatic license plate reading, object and people multiple tracking, face detection. These algorithms are at the basis of the design of complex video-surveillance systems, allowing for a high degree of automation and for a rationalisation of the alarms, therefore constituting an important technological support to security professionals.

Dundee University – Dundee, UK (DUN)

The School of Computing of the University of Dundee hosts internationally visible research in computer vision, healthcare and assistive technologies, intelligent systems, and aerospace systems. The computer vision group, participating in this project, includes 4 faculties (of which two full professors), 7 research associates and 8 PhD students engaged in both theoretical and applied research on 2-D and 3-D machine vision. Current applications include textile analysis (1.5M-pound FABRIC project), vision-based communications and animation of the human figure (incl. Fr V VIRTUE and various UK-funded projects), biomedical image analysis, cell biology, assistive systems for dementia patients, and monitoring of construction sites.
Expertise for the project The Dundee computer vision group specialises in 3-D machine vision and its members have a long history of applied research projects at national (UK) and European level, incl VIRTUE and ARAMIS (Fr V), AMADEUS I and II, and CRAFT projects (Fr V). Relevant experience includes technologies for locating objects in space with single and multiple cameras, calibrated and uncalibrated systems, image based rendering, 3-D reconstruction from multiple views, tracking and motion analysis, which complements the know-how provided by the other RTD performers.