Objective
Computer Vision has gradually become an enabling technology for a range of applications involving in particular inspection and recovery of 3D models. The problem of recognition and categorisation of general sets of objects has posed to be a significant challenge. This proposal addresses the problem of recognition, categorisation, scene interpretation and learning in the context of an embodied system to demonstrate that through careful consideration of spatio-temporal context, task constraints, embodiment, and representation it is indeed possible to provide the methods needed for the demonstrating the basic functionalities of cognitive vision in the context of realistic problems.
Objectives:
The objective of this project is to provide the methods and techniques that enable construction of vision systems that can perform task oriented categorisation and recognition of objects and events in the context of an embodied agent. The functionality will enable construction of mobile agents that can interpret the action of humans and interact with the environment for tasks such as fetch and delivery of objects in a realistic domestic setting.
Work description:
Cognitive vision systems include facilities for "understanding", "knowing" and "learning". Understanding here involves both recognition/categorisation of objects and events, through association of semantic labels with data from the scene. Interpretation does, however, also involve interpretation and reasoning to enable construction of rich semantic models of the environment. Knowing implicitly specifies a need to consider memory as a common basis for representation and maintenance of information, including methods for associate access. Systems with a realistic complexity cannot be engineered. There is consequently a need for methods for automatic acquisition of models and representations to allow the system to operate in an open-ended fashion, i.e. beyond initial specifications. Finally the above issues can only be addressed in a meaningful manner in the context of a fully operational system, which implies that it must be embodied and continuously operating.
To address the issues outlined above the work has been organised into four workpackages:
i) Recognition and Categorisation of Objects, Structures and Events,
ii) Reasoning and Interpretation about Scenes and Events,
iii) Learning and Adaptation, and
iv) Control and Integration. Through the work in each of these packages and integration of these efforts into a number of operational systems the key issues in cognitive vision will be studied. Particular emphasis is placed on studies of these systems in realistic settings and through combination of static and dynamic information to allow interpretation, control and knowledge acquisition to operate in concert.
Milestones:
The project will in particular deliver basic methods for recognition / categorisation of objects and events/actions in large scale scenarios, new methods for robust interpretation of dynamic scenes, methods for acquisition of basic skills and environmental models, and techniques for fully distributed control of continuously operating systems. The methods studied will be integrated in prototype systems. Many of the results within the project will be of immediate industrial utility.
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.
- natural sciences computer and information sciences software software applications system software operating systems
- natural sciences computer and information sciences artificial intelligence computer vision
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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)
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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
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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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
100 44 STOCKHOLM
Sweden
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.