Project description
Human-object interaction for smarter systems
Perceiving human-object interaction (HOI) is essential for intelligent systems that assist people in performing tasks. However, accurately perceiving these interactions from whole-body colour images presents challenges due to occlusions, motion blur, depth ambiguities and low-resolution details. Previous efforts have focused either on human body or object estimation separately, often ignoring crucial aspects like hand or body detail. To address these challenges, the ERC-funded STRIPES project will develop 3D models for both objects and humans, enabling the estimation of HOI from natural colour images and videos. Over the next 5 years, STRIPES will enhance HOI reconstruction, empowering assistive robots and virtual assistants to assist people more effectively in everyday tasks.
Objective
People constantly interact with objects to perform tasks. To help people accomplish these, computers need to perceive Human-Object Interactions (HOI), and for this, they need to reconstruct HOI from whole-body color images of people interacting with objects or scenes. This is challenging, due to the occlusions between bodies and objects, motion blur, depth ambiguities, and the low image resolution of hands and graspable object parts. There has been significant prior work on estimating 3D humans without considering objects, and estimating 3D objects without considering humans. Little prior work estimates these jointly, but, for tractability, focuses either on interacting hands, ignoring the body, or on interacting bodies, ignoring hands. Only recent work addresses dexterous interaction of whole bodies, but instruments bodies with intrusive markers or sensors, and uses non-standard cameras to capture video of interactions. Moreover, reconstruction lacks hand detail that is crucial for grasping, and videos are captured in constrained settings, consequently, methods trained on these struggle generalizing. My goal is to infer HOI from natural whole-body images/videos. To this end, I present an ambitious 5-year research agenda with novelties in four directions: (1) developing strong generative 3D shape models for objects and humans for a novel HOI representation; (2) developing methods that estimate 3D HOI from a color image with rich contact and proximal awareness; (3) instilling spatiotemporal reasoning into the heart of these for estimating 4D HOI from color video; and (4) extending these methods to also infer their own confidence that will be correlated with the reconstruction quality. The outcome will be novel and robust methods for HOI reconstruction from natural images/videos. This will fill an important gap, enabling future intelligent systems to amplify people’s skills and help them accomplish tasks, e.g. for assistive robots or virtual 3D assistants or trainers.
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.
This project's classification has been human-validated.
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.
This project's classification has been human-validated.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2024-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1012WX Amsterdam
Netherlands
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