DocumentCode :
2693037
Title :
Recognition of movement in neural networks
Author :
Sugiyama, Shigeki
Author_Institution :
Gifu Prefectural Metal Res. Inst., Seki City, Japan
Volume :
3
fYear :
1994
fDate :
2-5 Oct 1994
Firstpage :
2373
Abstract :
Backpropagation neural networks are very good at remembering figures. Thus by using this characteristics, the author attempts to find a method for working out the direction and the speed of an object which is projected on a CCD image sensor
Keywords :
CCD image sensors; backpropagation; computer vision; motion estimation; neural nets; object recognition; CCD image sensor; backpropagation; movement speed; neural networks; object direction; object movement recognition; Character recognition; Charge coupled devices; Charge-coupled image sensors; Gravity; Intelligent networks; Neural networks; Object recognition; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
Type :
conf
DOI :
10.1109/ICSMC.1994.400221
Filename :
400221
Link To Document :
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