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Content archived on 2024-06-18

Human Motion Analysis from Image Sequences

Objective

Recent research has uncovered real potential for humans to interact with computers in natural ways by using their body motion, gestures and facial expressions. This has resulted in a huge surge of research within the Computer Vision community to develop algorithms able to understand, model and interpret human motion using visual information. Commercial motion capture solutions exist that can reconstruct the full motion of a human body or the deformations of a face. However these systems are severely restricted by the need to use markers on the subject and multiple calibrated cameras besides being costly and technically complex. Imagine instead the possibility of pointing a camera at a person for a few seconds and obtaining a fully parameterised detailed 3D model in a completely automated way. This 3D model could subsequently be used for animation tasks, to assist physiotherapists in the rehabilitation of patients with injuries or ultimately to guide a robot in a surgical operation. The aim of this project is to bring this scenario closer to reality by conducting the ground-breaking research needed to crack some of the challenging open problems in visual human motion analysis. So far visual human motion tracking systems have typically modelled the human body as a 3D skeleton ignoring the fact that each of its articulated parts is not strictly rigid but can also deform, since they are surrounded by soft tissue, muscles and clothes. Think of a torso performing small twists, a bicep flexing or a face performing different facial expressions. In this grant I are interested in recovering the full detailed 3D shape of the human body, including a model for the supporting 3D skeleton that captures its underlying articulated structure and a collection of deformable models to describe the non-rigid nature of each of its parts. Crucially, I plan to obtain these models without the use of markers, prior models or exemplars --- purely from image measurements.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Topic(s)

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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ERC-2007-StG
See other projects for this call

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.

ERC-SG - ERC Starting Grant

Host institution

UNIVERSITY COLLEGE LONDON
EU contribution
€ 267 030,40
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.

No data

Beneficiaries (2)

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