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