Learning to Anticipate the Movements of Intermittently Occluded Objects

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

A model of event driven anticipatory learning is described and applied to a number of
attention situations where one or several visual
targets need to be tracked while being
intermittently occluded. The model combines
covert tracking of multiple targets with overt
control of a single attention focus. The implemented
system has been applied to both a
simple scenario with a car that is occluded in a
tunnel and a complex situation with six simulated
robots that need to anticipate the movements
of each other. The system is shown to
learn very quickly to anticipate target movements.
The performance is further increased
when the simulated robots are allowed to cooperate
in the tracking task.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computer Vision and Robotics (Autonomous Systems)
Original languageEnglish
Title of host publicationProceedings of the Eighth International Conference on Epigenetic Robotics
EditorsChristian Balkenius
PublisherLund University Cognitive Studies
Pages54-60
Volume139
StatePublished - 2008
Publication categoryResearch
Peer-reviewedYes
EventEpigenetic Robotics - Brighton, United Kingdom
Duration: 2008 Jul 30 → …

Publication series

Name
Volume139

Conference

ConferenceEpigenetic Robotics
CountryUnited Kingdom
CityBrighton
Period2008/07/30 → …

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