Objective
In today’s society, massive amounts of electronic sensors surround us that are tracking objects for the purpose of healthcare, surveillance, retail oriented commercial purposes and many others. Modern sensors generate very large amounts of data, however, due to current technical limitations, it is nearly impossible to integrate large scale data from many different and complex sensors to track very large groups of objects and people. Major advancements in various important areas in our society, such as traffic and crowd management, movement science in healthcare, smart surveillance, security and defense are hindered by this limitation, slowing down European industrial growth. The Training programme on Tracking in Complex Sensor Systems (TRAX) project aims to investigate and design innovative algorithms and techniques for dealing with raw data from complex and advanced tracking systems. This will be achieved through the establishment of a novel research training programme on Tracking in Complex Sensor Systems, covering interdisciplinary and intersectoral aspects in this newly emerging supra-disciplinary field. The TRAX consortium comprises two large companies (Thales Nederland B.V. Ericsson A.B.); two SMEs (Rinicom Limited, Xsens Technologies B.V.); a research institute ( Fraunhofer) and three universities (University of Lancaster, Linköping University and University of Twente); and is supported by two associated partners: SME SenionLab A.B. and University of Bonn. 12 early stage researches and 3 experienced researchers get the opportunity to work on the state-of-the-art complex tracking field. The uniqueness of TRAX is that while all research is being performed under one umbrella, it is being exploited by different branches of industry and implemented in various applications, resulting in significant benefits for EU industry and society and delivering highly wanted, currently scarcely available, young researchers in the multidisciplinary field of complex tracking.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Call for proposal
FP7-PEOPLE-2013-ITN
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Funding Scheme
MC-ITN - Networks for Initial Training (ITN)Coordinator
7554 RR Hengelo Ov
Netherlands