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
Link To Document :
بازگشت