Completed Projects

RHEA

The goal of the EU project “Robot Fleets for Highly Effective Crop Management in Miditerranean Agriculture (RHEA)” is to develop a system for the precise and automatic management of agricultural land by using a fleet of autonomous land and air vehicles. This includes the development of new computer vision algorithms for crop evaluation and weed … Continue reading RHEA

MuBisA

Multivariate Bildanalyse für selbstbestimmtes Altern The goal of this project is a reliable and automated computer vision system to enable an independent lifestyle for the elderly and disabled. It is based in the area of “smart homes” but uses state-of-the-art 2d and 3d computer vision techniques. MuBisA will develop a closed system for the automatic … Continue reading MuBisA

tripleB ID – Identifikation von Bedrohungsszenarien in Banken durch Bildanalyse

An increase in visual surveillance systems together with an increased inquiry for security and efficiency leads to the need of efficient systems which are able to process and interpret video data automatically. Based on developments in the area of machine vision, pattern recognition and visual sensors this project deals with the development of a system … Continue reading tripleB ID – Identifikation von Bedrohungsszenarien in Banken durch Bildanalyse

iObserveNG

The goal of this project is to develop a highly intelligent, next-generation video-based surveillance system. A service-oriented architecture as infrastructural basis of a scalable video surveillance system will be implemented. Services are self-contained and can be used independently. Every service owns a public interface, which can be used by the subscribers within a network. Two … Continue reading iObserveNG

miniSPOT.net

State-of-the-Art video surveillance systems are based on analogue technologies. Recently, a trend towards IP based monitoring and recording systems can be identified. These systems allow the archiving and the analysis of the video material where the problem of huge amounts of data arises. Therefore, big command and control centers only need the visual information in … Continue reading miniSPOT.net

COINS

The COINS project aims at providing a substantial contribution to the fight against illegal trade and theft of coins which appears to be a major part of the illegal antiques market. The project will develop standardized inventories by defining a domain ontology based on CIDOC-CRM, the standard ontology for Cultural Heritage, and a multilingual thesaurus. … Continue reading COINS

AAMIR

Rheumatoid Arthritis (RA) is an incurable disease leading to severe disabling mutilations of synovial joints. RA affects predominantly the peripheral joints of the appendicular skeleton. RA is with 17% one of the leading causes of disability among persons aged 15 years or older. The prevalence is 1-2%. A recent study estimated the total cost to … Continue reading AAMIR

MUSCLE

MUSCLE is an EC-sponsored Network of Excellence that aims at establishing and fostering closer collaboration between research groups in multimedia datamining and machine learning. The Network integrates the expertise of over forty research groups working on image and video processing, speech and text analysis, statistics and machine learning. The goal is to explore the full … Continue reading MUSCLE

AVITRACK

AVITRACK – Aircraft surroundings, categorised Vehicles and Individuals Tracking for apRon’s Activity model interpretation and ChecK An international team of researchers, led by SILOGIC and with support from the European Union was developing a framework for automatically supervision of commercial aircraft servicing operations from the arrival to the departure on an airport’s apron. Main objectives … Continue reading AVITRACK