de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

An architecture for distributed visual memory.

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84287

von der Heyde,  M
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Jungclaus, N., von der Heyde, M., Ritter, H., & Sagerer, G. (1998). An architecture for distributed visual memory. Zeitschrift für Naturforschung (C), 53(7-8), 550-559. Retrieved from http://www.znaturforsch.com/c.htm.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-E901-A
Abstract
The development of autonomous as well as situated robots is one of the great remaining challenges and involves a number of different scientific disciplines. In spite of recent dramatic progress, it remains worthwhile to examine natural systems, because their abilities are still out of reach. Motivated by research work done in the fields of cognitive systems, visual perception, and psychology of memory we designed and implemented a memory architecture for visual tasks. Structural and functional concepts of the memory architecture were modeled on the ones found in natural systems. We present an efficient implementation based on parallel programming techniques. The memory module is integrated into a distributed system for speech and image analysis, which is currently developed in the Sonderforschungsbereich (SFB) 360, Situated Artificial Communicators, where a hybrid vision system combining neural and semantic networks is used.