2010 Fiscal Year Final Research Report
High Performance Classifier Based on Fuzzy Clustering
Project/Area Number |
20500210
|
Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Sensitivity informatics/Soft computing
|
Research Institution | Osaka Prefecture University |
Principal Investigator |
ICHIHASHI Hidetomo Osaka Prefecture University, 工学研究科, 教授 (30151476)
|
Co-Investigator(Kenkyū-buntansha) |
HONDA Katsuhiro 大阪府立大学, 工学研究科, 准教授 (80332964)
NOTSU Akira 大阪府立大学, 工学研究科, 助教 (40405345)
|
Project Period (FY) |
2008 – 2010
|
Keywords | クラスター分析 / 識別器 / パターン認識 / 画像検索 / パターン検出 |
Research Abstract |
Generalization capability of classifiers is generally improved by introducing free parameters. The performance of the camera-based vehicle detection system is improved by using the FCM classifier. The new system was introduced to an underground parking lot in 2009. The system was also tested at an outdoor (rooftop) parking lot for a period of two months and achieved the detection rate (sensitivity) of 99.6%. The classification accuracy on test set, training time and testing time (i. e., detection time) of FCMC are compared with LibSVM by varying the number of training samples.
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