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FOREnsic evidence gathering autonomous seNSOR

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Report on Dissemination Activities (opens in new window)
Data Management Plan (opens in new window)

The purpose of the Data Management Plan is to provide an analysis of the main elements of the data management policy that will be used by FORENSOR with regard to all the datasets that will be generated by the project.

Report on Dissemination Activities (Update) (opens in new window)

Report on Dissemination Activities

1st Workshop Report (opens in new window)
Project Management Manual (opens in new window)

Management manual

Framework for impact assessment of FORENSOR against DaPPECL requirements (opens in new window)

Description of the framework for the impact of the FORENSOR system upon the data protection and privacy, ethics and principles of criminal justice and selected aspects of criminal procedure.

Project Quality Assurance Manual (opens in new window)

Quality assurance manual

2nd Workshop Report (opens in new window)
Report on the data protection, privacy, ethical and criminal law (DaPPECL) frameworks (opens in new window)

Description of applicable ethical concerns and principles. A benchmark against which the impact of the FRONESOR technology and its applications can be assessed.

The impact assessment report (restricted and public versions) (opens in new window)

Impact assessment report on data protection and privacy, ethics and principles of criminal justice and selected aspects of criminal procedure.

Publications

Live demonstration: Motion detection vision sensor with dynamic background rejection (opens in new window)

Author(s): Y. Zou, M. Gottardi, D. Perenzoni, M. Perenzoni, D. Stoppa
Published in: 2017 IEEE SENSORS, 2017, Page(s) 1-1, ISBN 978-1-5090-1012-7
Publisher: IEEE
DOI: 10.1109/icsens.2017.8234024

Non-linear Convolution Filters for CNN-Based Learning (opens in new window)

Author(s): Georgios Zoumpourlis, Alexandros Doumanoglou, Nicholas Vretos, Petros Daras
Published in: 2017 IEEE International Conference on Computer Vision (ICCV), 2017, Page(s) 4771-4779, ISBN 978-1-5386-1032-9
Publisher: IEEE
DOI: 10.1109/iccv.2017.510

A 1.6mW 320×240 pixel vision sensor for event detection (opens in new window)

Author(s): Yu Zou, Massimo Gottardi, Michela Lecca
Published in: 2017 International SoC Design Conference (ISOCC), 2017, Page(s) 97-98, ISBN 978-1-5386-2285-8
Publisher: IEEE
DOI: 10.1109/isocc.2017.8368787

A low power smart camera for video surveillance and forensic applications (opens in new window)

Author(s): Michela Lecca, Yu Zou, Massimo Gottardi
Published in: 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2017, Page(s) 626-631, ISBN 978-1-5386-0774-9
Publisher: IEEE
DOI: 10.1109/ice.2017.8279943

A 1.6 mW 320×240-pixel vision sensor with programmable dynamic background rejection and motion detection (opens in new window)

Author(s): Y. Zou, M. Gottardi, D. Perenzoni, M. Perenzoni, D. Stoppa
Published in: 2017 IEEE SENSORS, 2017, Page(s) 1-3, ISBN 978-1-5090-1012-7
Publisher: IEEE
DOI: 10.1109/icsens.2017.8234054

Live Demostration: Low Power Vision Sensor with Robust Dynamic Background Rejection (opens in new window)

Author(s): Yu Zou, Massimo Gottardi, Matteo Perenzoni
Published in: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018, Page(s) 1-1, ISBN 978-1-5386-4881-0
Publisher: IEEE
DOI: 10.1109/iscas.2018.8351881

Action Recognition From Videos using Sparse Trajectories (opens in new window)

Author(s): A. Doumanoglou, N. Vretos, P. Daras
Published in: 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016), 2016, Page(s) 10 (5 .)-10 (5 .), ISBN 978-1-78561-400-2
Publisher: Institution of Engineering and Technology
DOI: 10.1049/ic.2016.0078

Risk to the Right to the Protection of Personal Data: (opens in new window)

Author(s): I. Böröcz
Published in: European Data Protection Law Review, Issue 2/4, 2016, Page(s) 467-480, ISSN 2364-2831
Publisher: Lexxion
DOI: 10.21552/EDPL/2016/4/6

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