DocumentCode :
3381986
Title :
Visual dynamic scene understanding exploiting high-level spatio-temporal models
Author :
Dickmanns, E.D.
Author_Institution :
Univ. der Bundeswehr Munchen, Neubiberg, West Germany
Volume :
ii
fYear :
1990
fDate :
16-21 Jun 1990
Firstpage :
373
Abstract :
The 4-D approach to dynamic real-time machine vision is reviewed. The influence of control integration on the development of behavioral skills and intelligence are emphasized. This approach leads to a processing structure oriented towards the internal representation of physical objects in 3-D space and time. Results achieved in road vehicle guidance are discussed; this includes convoying with no direct range measurement
Keywords :
artificial intelligence; computer vision; computerised navigation; computerised pattern recognition; 3-D space; 4-D approach; computer vision; computerised navigation; computerised pattern recognition; dynamic scene understanding; machine vision; real-time; road vehicle guidance; spatio-temporal models; Differential equations; Image sequence analysis; Image sequences; Layout; Modems; Navigation; Road vehicles; Shape; State estimation; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
Type :
conf
DOI :
10.1109/ICPR.1990.119385
Filename :
119385
Link To Document :
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