Application of image mining for knowledge discovery of analyzed traffic images

被引：0
|
作者：
Zaboli, Sh. [1 ]
Naderi, S. [1 ]
Moghaddam, A. M. Eftekhari [2 ]
机构：
[1] Iran Telecommun Res Ctr, POB 14155-3961, Tehran 14399, Iran
[2] Islamic Azad Univ, Qazvin, Iran
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS 1-6 | 2006年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
引用
收藏
页码：1068 / +
页数：2
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