Project Proposal (PDF) - Oxford Brookes University

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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]
FP7-ICT-2011-9 STREP proposal 18/01/12 v1 [Dynact] Artificial Intelligence (I.F. 3.035); the IEEE Transactions on Systems, Man, and Cybernetics Parts A,B,C (I.F. 3.01, 2.02) the International Journal of Approximate Reasoning (I.F. 2.09); the IEEE Transactions on Fuzzy Systems (I.F. 3.34); Fuzzy Sets and Systems (I.F. 2.138). Notice that vision journals are the top venues in absolute terms in Computer Science, further boosting the academic impact of this project. Target international conferences include the following top computer vision conferences: the IEEE International Conference on Computer Vision (ICCV); the IEEE Conference on Computer Vision and Pattern Recognition (CVPR); the IEEE European Conference on Computer Vision (ECCV); the British Machine Vision Conference (BMVC). Oxford Brookes is deeply involved in the organisation of these venues. OBU is part of the steering committee of the upcoming ICCV'13 event in Sidney, Australia, through his founder Philip Torr. The Oxford Brookes vision group has also organized BMVC in recent years, and its members are regular reviewers for all such conferences. The top conferences in Artificial Intelligence are considered to be: Uncertainty in Artificial Intelligence (UAI); the Conference of the National Association for Artificial Intelligence (AAAI); the International Joint Conference on Artificial Intelligence (IJCAI). Dr Antonucci is a permanent member of the Programme Committee for UAI, which is chaired by Professor Fabio Cozman, a professional partners of OBU, IDSIA and SYSTeMs. He has also been involved in tutorials at AAAI. As for the top machine learning venues, we target: Neural Information and Processing Systems (NIPS); and International Conference on Machine Learning (ICML). OBU's record at NIPS is outstanding, having recently won a Honorable Mention at NIPS'08. Finally, the most important symposiums in Imprecise Probabilities are: the International Symposium on Imprecise Probabilities and Their Applications (ISIPTA); the European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU); the International Conference on the Theory of Belief Functions (BELIEF). OBU's Fabio Cuzzolin, IDSIA's Antonucci and SYSTeMs' deCooman are permanently members of the programme committees of all these conferences. As it is to be expected, conference papers will be targeted in the first year(s) of the project, to later lead to journal publications. Two of the three major vision venues run every single year, as UAI, AAAI, NIPS and ICML do. Imprecise probability conferences are normally organized every other year. Organisation of special sessions and workshops at selected international conferences. Many major computer vision conferences such as ICCV, ECCV and CVPR regularly organise one or two-day workshops on selected topics. Relevant examples are the Action Recognition Challenges CVPR Workshop (http://www.umiacs.umd.edu/conferences/cvpr2011/ARC/) and the analogous SMC Workshop (http://www.opportunity-project.eu/workshopSMC). We intend to organise such workshop sessions on the project (possibly in collaboration and accordance with similar initiatives) in order to further disseminate our results within the academic community. Major such Proposal Part B: page [57] of [67]
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Project Proposal (PDF) - Oxford Brookes University

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