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Content archived on 2024-06-18

Recognizing Object Guided Human Actions

Objective

This proposal addresses recognition of object guided human actions in video data. Automation of the analysis requires advances in human motion recognition, object recognition in video as well as incorporation of action-object relations. Recognition in video is challenging due to dramatic changes in appearance between frames, low resolution and blur. In this work I intend to incorporate information from multiple frames at all levels of processing to overcome these difficulties. Information from multiple frames will be incorporated to detect consistent object and body parts, to obtain high-detail representations of objects and actions, as well as to infer their contextual relations. This multi view approach draws its motivation from traditional super-resolution algorithms that incorporate multiple frames into a single high-resolution view of an object or person. My goal, however, is to integrate information from multiple views to obtain ``high resolution models’' to represent objects, actions, and their relationships.

Fields of science (EuroSciVoc)

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Keywords

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Topic(s)

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-PEOPLE-2007-4-3-IRG
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Funding Scheme

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.

MC-IRG - International Re-integration Grants (IRG)

Coordinator

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
EU contribution
€ 100 000,00
Address
SENATE BUILDING TECHNION CITY
32000 Haifa
Israel

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Activity type
Higher or Secondary Education Establishments
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Total cost

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.

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