High Performance Classifier Based on Fuzzy Clustering

一般通过引入自由参数来提高分类器的泛化能力。采用FCM分类器，提高了基于摄像机的车辆检测系统的性能。新系统于2009年被引入一个地下停车场。该系统还在室外（屋顶）停车场进行了为期两个月的测试，检测率（灵敏度）达到99.6%。通过改变训练样本的数量，比较FCMC和LibSVM在测试集上的分类准确率、训练时间和测试时间（即检测时间）。

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.