DocumentCode
2087777
Title
Visual data mining using omni-directional sensor
Author
Kato, Koji ; Shibata, Tomoyuki ; Ishiguro, Hiroshi
Author_Institution
Dept. of Media Archit., Future Univ. Hakodate, Hokkaido, Japan
fYear
2003
fDate
30 July-1 Aug. 2003
Firstpage
281
Lastpage
286
Abstract
In this paper, we propose a method that analyses images recorded throughout long term. Conventional methods used feature extraction and geometric technique, when these images were analyzed. However, the problem of the lack of information occurs in such methods. Then, we propose the method that uses pattern conversion of the images and statistical technique. Moreover, we experimented, and the effectiveness of our method was verified.
Keywords
data mining; image classification; image sensors; object detection; pattern clustering; statistical analysis; image acquisition; image classification; images recording; information extraction; object detection; omni-directional sensor; pattern conversion; spatio-temporal image; statistical technique; visual data mining; Cameras; Data mining; Image analysis; Image motion analysis; Image sequence analysis; Image sequences; Information analysis; Layout; Motion analysis; Object detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Integration for Intelligent Systems, MFI2003. Proceedings of IEEE International Conference on
Print_ISBN
0-7803-7987-X
Type
conf
DOI
10.1109/MFI-2003.2003.1232671
Filename
1232671
Link To Document