DocumentCode :
2172974
Title :
Automated object recognition - an intelligent system approach
Author :
Ramesh, G. ; Madhan Mohan, R.
Author_Institution :
Dept. of MCA, Saraswathi Velu Coll. of Eng., Sholinghur
fYear :
2007
fDate :
20-22 Dec. 2007
Firstpage :
574
Lastpage :
580
Abstract :
Attempts at fully automated object recognition systems have met with varying levels of success over the years. However, none of the systems have achieved high enough accuracy rates to be run unattended. One of the reasons for this may be that they are designed from the computer´s point of view and rely mainly on image-processing methods. A better solution to this problem may be to make use of modern advances in computational intelligence and distributed processing to try to mimic how the human brain is thought to recognize objects. As humans combine cognitive processes with detection techniques, such a system would combine traditional image- processing techniques with computer-based intelligence to determine the identity of various objects in a scene.
Keywords :
artificial intelligence; feature extraction; object recognition; automated object recognition; cognitive processes; computational intelligence; detection techniques; distributed processing; image-processing methods; intelligent systems; Computational Intelligence; Feature Extraction; Object Recognition;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007. ICTES. IET-UK International Conference on
Conference_Location :
Tamil Nadu
ISSN :
0537-9989
Type :
conf
Filename :
4735861
Link To Document :
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