DocumentCode :
296064
Title :
A behaviour-oriented approach to an implicit “object-understanding” in visual attention
Author :
Gross, H.-M. ; Heinke, D. ; Boehme, H.-J. ; Braumann, U.-D. ; Pomierski, T.
Author_Institution :
Dept. of Neuroinf., Tech. Univ. of Ilmenau, Germany
Volume :
1
fYear :
1995
fDate :
Nov/Dec 1995
Firstpage :
657
Abstract :
We present a hypothesis and a neurobiologically motivated neural architecture for self-organization of a behaviour-oriented, implicit “object-understanding” in the context of an attention based scene analysis. The paper emphasizes the functional architecture for self-organization of an “object-understanding” on the basis of internal anticipation, reshuffling and evaluation of the scanning process. Finally, by means of chromatic real-world scenes we demonstrate the effect of an emerging “object-understanding” on the scanning process, evident as drastic modification of the spatio-temporal scanning behaviour
Keywords :
neural nets; neurophysiology; object recognition; physiological models; visual perception; attention based scene analysis; behaviour-oriented approach; neural architecture; object-understanding; self-organization; spatio-temporal scanning; visual attention; visual perception; Acceleration; Biological control systems; Context modeling; Electronic mail; Image analysis; Layout; Manipulator dynamics; Process control; Testing; Visual perception;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
Type :
conf
DOI :
10.1109/ICNN.1995.488258
Filename :
488258
Link To Document :
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