Objective
ADDPRIV proposes novel knowledge and developments to limit the storage of unnecessary data, to be implemented on existing multicamera networks in order to make them better comply with citizen´s privacy rights.
ADDPRIV tackles the challenge of determining in a precise and reliable manner private data from video surveillance which is not relevant from the perspective of security and which need not to be stored. ADDPRIV proposes solutions for automatic discrimination of relevant data recorded on a multicamera network, related to an individual whose suspicious behaviour triggered an alert. Relevant data not only corresponds to video scenes capturing individuals´s suspicious behavior (smart video surveillance), but also automatically extracting images on these individuals recorded before and after the suspicious event and across the surveillance network.
Algorithms for automatic browsing, identification and retrieval of images on the suspicious individuals across the multicamera network will be developed, implemented and validated in a real life scenario. These solutions will be able to discriminate data relevancy and index relevant images, setting different storage levels with different data access management. Solutions for secure deletion of non-relevant video files will also be developed, according to the highest security standards. ADDPRIV will therefore provide required tools for limiting the visualization and storage of unnecessary data, corresponding to law abiding citizens.
ADDPRIV solutions´ validation will be guided by criteria and metrics determined by social and ethical experts and end users, establishing the characteristics that a surveillance system must fulfill for effectiveness and integrity in citizens privacy protection. ADDPRIV will analyse the impact of our system on citizen´s human rights and end users organizational processes, aiming to contribute towards establishing a standard on how and when these systems are to be used.
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-SEC-2010-1
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
28805 Alcala de Henares
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.