Explore the words cloud of the SURVANT project. It provides you a very rough idea of what is the project "SURVANT" about.
The following table provides information about the project.
Coordinator |
ENGINEERING - INGEGNERIA INFORMATICA SPA
Organization address contact info |
Coordinator Country | Italy [IT] |
Project website | http://www.eng.it |
Total cost | 2˙578˙960 € |
EC max contribution | 1˙994˙797 € (77%) |
Programme |
1. H2020-EU.3. (PRIORITY 'Societal challenges) 2. H2020-EU.2. (PRIORITY 'Industrial leadership') |
Code Call | H2020-FTIPilot-2015-1 |
Funding Scheme | IA |
Starting year | 2017 |
Duration (year-month-day) | from 2017-01-01 to 2018-12-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | ENGINEERING - INGEGNERIA INFORMATICA SPA | IT (ROMA) | coordinator | 581˙700.00 |
2 | ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS | EL (THERMI THESSALONIKI) | participant | 469˙625.00 |
3 | UNITED TECHNOLOGIES RESEARCH CENTRE IRELAND, LIMITED | IE (Cork) | participant | 433˙097.00 |
4 | INNOVATION ENGINEERING SRL | IT (Rome) | participant | 348˙250.00 |
5 | AYUNTAMIENTO DE MADRID | ES (MADRID) | participant | 162˙125.00 |
All around the world, organizations and agencies deploy video surveillance to monitor and protect property and public infrastructure, driven by various factors like increasing crime rate, security threats, terrorism acts and even monitoring of law enforcement. The influx of surveillance footage from a growing number of cameras operating at higher resolutions, such as HD, coupled with the desire to increase the retention time of that footage is exploding the volume of the footage available. Organizations that have invested heavily in surveillance infrastructure are keen to exploit it for the automation of surveillance procedures using video analytics solutions. SURVANT will deliver an innovative system that will collect the relevant videos from heterogeneous repositories, extract video analytics, enrich the analytics using reasoning and inference technologies, and offer a unified search interface to the user. An intuitive interface with a relaxed learning curve will assist the user create accurate search queries and receive the results using advanced visualization tools. Ethical management of personal data collected from surveillance videos is integrated in the system design. SURVANT is the follow up of the research project ADVISE (GA 285024), co-financed by EU in the FP7 Work programme in the SEC-2011 call. It intends to market uptake the results achieved in ADVISE and prove the final system at operational environment (TRL9). The market opportunity has been confirmed during the ADVISE project demonstration workshops, where end-users were enthusiastic about the functionality of the prototype presented and some initial interest for purchasing the system was declared. Law Enforcement Agencies (LEAs), critical infrastructure operators and private security organizations are the primary market targets of this action. However, SURVANT pleads to explore new markets that share common needs.
Public web site | Demonstrators, pilots, prototypes | 2019-09-09 15:23:31 |
Dissemination activity reports II | Documents, reports | 2019-09-09 15:23:31 |
Dissemination activity reports | Documents, reports | 2019-09-09 15:23:31 |
Privacy, ethical and legal constraints | Documents, reports | 2019-09-09 15:23:31 |
Pilot scenarios | Documents, reports | 2019-09-09 15:23:31 |
Take a look to the deliverables list in detail: detailed list of SURVANT deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Rakesh Mehta, Jaume Amores Improving detection speed in video by exploiting frame correlation published pages: 303-309, ISSN: 0167-8655, DOI: 10.1016/j.patrec.2018.07.035 |
Pattern Recognition Letters 112 | 2019-09-09 |
2018 |
Rakesh Mehta, Cemal Ozturk Object detection at 200 Frames Per Seconds published pages: , ISSN: , DOI: |
ECCV-Workshop 2018 | 2019-09-09 |
2018 |
Anastasios Dimou, Dimitrios Ataloglou, Kosmas Dimitropoulos, Federico Alvarez, Petros Daras LDS-Inspired Residual Networks published pages: 1-1, ISSN: 1051-8215, DOI: 10.1109/tcsvt.2018.2869680 |
IEEE Transactions on Circuits and Systems for Video Technology | 2019-09-09 |
2019 |
Nauman Shahid, Francesco Grassi Graph based Trajectory Mining published pages: , ISSN: , DOI: |
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | 2019-09-09 |
2018 |
Kostas Loumponias, Anastasios Dimou, Nicholas Vretos, Petros Daras Adaptive Tobit Kalman-based tracking published pages: , ISSN: , DOI: |
SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS | 2019-09-09 |
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The information about "SURVANT" are provided by the European Opendata Portal: CORDIS opendata.