Application of Image Mining for Knowledge Discovery of Analyzed Traffic Images

Author

Zaboli, Sh. ; Naderi, S. ; Moghaddam, A. M Eftekhari

Author_Institution

Iran Telecommun. Res. Center, Tehran

fYear

2006

fDate

15-17 Dec. 2006

Firstpage

1066

Lastpage

1070

Abstract

This paper presents a new application of image mining systems for knowledge discovery of traffic/people behaviors. Our proposed image-mining framework analyzes the traffic image sequences by using background subtraction, image segmentation, and object tracking in the domain of traffic monitoring. The spatio-temporal relationships of the vehicle objects in each frame are discovered and accurately captured and modeled. Then trajectory of moving objects is determined and normality and abnormality of people/vehicle behaviors is recognized. In our system a fuzzy Decision Maker (FDM) is used to modeling and extracting knowledge from traffic behavioral patterns.

Keywords

computerised monitoring; data mining; decision making; feature extraction; fuzzy set theory; image sequences; traffic engineering computing; fuzzy decision maker; image mining; knowledge discovery; knowledge extraction; spatiotemporal relationships; traffic behavioral patterns; traffic image sequences; traffic monitoring; traffic-people behaviors; Image analysis; Image databases; Image motion analysis; Image sequence analysis; Image sequences; Motion detection; Object detection; Telecommunication traffic; Traffic control; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 2006. ICIT 2006. IEEE International Conference on

Conference_Location

Mumbai

Print_ISBN

1-4244-0726-5

Electronic_ISBN

1-4244-0726-5

Type

conf

DOI

10.1109/ICIT.2006.372296

Filename

4237618