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

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Automatic acquisition of exemplar-based representations for recognition from image sequences

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84298

Wallraven,  C
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

Bülthoff,  HH
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

Wallraven, C., & Bülthoff, H. (2001). Automatic acquisition of exemplar-based representations for recognition from image sequences. In CVPR 2001 Workshop on Models versus Exemplars in Computer Vision (pp. 1-9).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-E160-5
Abstract
We present an exemplar-based object recognition system which is capable of on-line learning of representations of scenes and objects from image sequences. Local appearance features are used in a tracking framework to find `key-frames' of the input sequence during learning. The representation of the stored sequences which are used for recognition of novel images consists only of the appearance features in these key-frames and contains no further a-priori assumptions about the underlying sequences. The system is able to create sparse and extendable representations and shows good recognition performance in a variety of viewing conditions for databases of natural and synthetic image sequences.