Project Proposal (PDF) - Oxford Brookes University

FP7-ICT-2011-9 STREP proposal
18/01/12 v1 [Dynact]
already explained, the consortium already has a long history of collaborations and partnerships with such
companies. The elderly care industry could be revolutionized by the diffusion of intelligent home
technologies, of which activity recognition is a crucial part. The same can be said for the all the other
scenarios of WP5.
Being based on graphical models, the algorithm developed for efficient generative recognition of videos can
naturally support a distributed architecture: this is very useful when moving from software to firmware
implementation, a particularly important aspect when it comes to potential industrial partnerships.
The competitiveness of all these actors could potentially be hugely boosted by the adoption of cutting edge
technologies developed in this project, to the economic competitive advantage of the Union.
National and European policy-makers.
We also expect policy-makers and government agencies to be attracted by the idea of novel surveillance and
biometric systems able to improve the general level of security in the continent, especially in the current,
uncertain times, and that of sensitive areas in particular. Examples are airport management authorities such
as BAA, railway companies, underground and public transport authorities (e.g., Transport for London). The
infrastructure is basically already there, as millions of active CCTV cameras are active throughout the
European Union and the European Economic Space. A research partner of IDSIA, Armasuisse, the research
department of the Swiss army, has already expressed potential interest in the outcome of the project. Similar
considerations can be made about national armies and intergovernmental military alliances, very interested in
the general topic of situational awareness, which would clearly benefit from a successful outcome of the
proposed project.
The European citizen.
The wider European public will of course be the ultimate beneficiary of any improvement in the security
level of public places and transport. The EU citizen’s quality of life will arguably benefit too, in the longer
term, by the deployment of behavioural biometric systems as anti-terrorist measures. In addition, robust
action recognition will likely revolutionise many aspects of ordinary citizens' life, in terms of the way they
spend their spare time (e.g., interactive gaming), they go through their daily tasks at work (e.g., new humancomputer
interfaces), and live in their homes (as in the smart room scenarios).
3.2.2 Measures proposed for the dissemination/exploitation of the results
In order to reach the various groups of beneficiaries identified above, we plan a coordinated set of actions
with the purpose of engaging them in a variety of ways.
Figure 13. Impact actions envisaged by Dynact: special issues, workshops, grand challenges (some images
from the Pascal VOC challenge), contact with industrial groups (Google Santa Monica), dedicated web site.
Publication strategy. The obvious step in a research project is the publication of its scientific results in
international journals and top conferences. This is all the more obvious for a high-profile project such as the
proposed one, which involves a number of scientific communities active on imprecise probabilities,
computer vision, image processing, gait identification, machine learning, virtual reality.
Accordingly, target journals include all the top venues in computer vision, machine learning and artificial
intelligence:
IEEE Transactions on Pattern Recognition and Machine Intelligence (I.F. 4.38);
The International Journal of Computer Vision (I.F. 3.508);
Journal of Computer Vision and Image Understanding;
Proposal Part B: page [56] of [67]