Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Prometheus: Prediction and interpretation of human behaviour based on probabilistic structures and heterogeneous sensors
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-6763-5487
Munich University of Technology, Germany.
University of Patras, Greece.
FOI Swedish Defence Research Agency.
Show others and affiliations
2008 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

The on-going EU funded project Prometheus (FP7-214901) aims at establishing a general framework which links fundamental sensing tasks to automated cognition processes enabling interpretation and short-term prediction of individual and collective human behaviours in unrestricted environments as well as complex human interactions. To achieve the aforementioned goals, the Prometheus consortium works on the following core scientific and technological objectives:

1. sensor modeling and information fusion from multiple, heterogeneous perceptual modalities;

2. modeling, localization, and tracking of multiple people;

3. modeling, recognition, and short-term prediction of continuous complex human behavior.

Place, publisher, year, edition, pages
European Coordinating Committee for Artificial Intelligence (ECCAI) , 2008.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-120558OAI: oai:DiVA.org:liu-120558DiVA: diva2:846265
Conference
European Conference on Artificial Intelligence (ECAI)
Available from: 2015-08-14 Created: 2015-08-14 Last updated: 2015-09-14Bibliographically approved

Open Access in DiVA

fulltext(3368 kB)176 downloads
File information
File name FULLTEXT01.pdfFile size 3368 kBChecksum SHA-512
b96031b9543684a6098de1c6f7e9af1ba2498f37f7ec9b23365256119ee5fe4f777169fa7558a0f111f2bbfe915a6863c73b25780888531289769d1b32d8a966
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Ahlberg, Jörgen
By organisation
Computer VisionFaculty of Science & Engineering
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 176 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 308 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf