DocumentCode
2174690
Title
Knowledge Discovery of Traffic/People Behaviors Based on Image Mining Approach
Author
Safara, Fatemeh ; Eftekhari-Moghadam, Amir-Masud
Author_Institution
Islamic Azad Univ., Qazvin
fYear
1993
fDate
16-18 Aug. 1993
Firstpage
255
Lastpage
258
Abstract
The increasing number of image archives has made image mining an important task because of its potential to discover useful image patterns and relationships from a large set of images. We proposed a framework for extracting knowledge from a sequence of images. The structure of the framework composed of two modules: image analysis and knowledge processing. In this paper, we customized the knowledge-processing module for checking normality/abnormality of vehicles/people behaviors in each image sequence
Keywords
data mining; image sequences; image analysis; image mining approach; image patterns; image sequence; knowledge discovery; knowledge extraction; Biomedical imaging; Costs; Data mining; Image sequence analysis; Image sequences; Internet; Object recognition; Telecommunication traffic; Vehicles; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Geometric Modeling and Imaging--New Trends, 2006
Conference_Location
London, England
Print_ISBN
0-7695-2604-7
Type
conf
DOI
10.1109/GMAI.2006.31
Filename
1648776
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