Journal article // EECCIS






Klasifikasi Kendaraan Menggunakan Gaussian Mixture Model (GMM) Dan Fuzzy Cluster K Means (FCM)
2015
Fitroh Amaluddin, M. Aziz Muslim, Agus Naba

Metrics

  • Eye Icon 397 views
  • Download Icon 896 downloads
Metrics Icon 397 views  //  896 downloads
Klasifikasi Kendaraan Menggunakan Gaussian Mixture Model (GMM) Dan Fuzzy Cluster K Means (FCM) Image
Abstract

This paper describes how to record a moving object and save as new video files (* .avi), then filtering the moving objects (Vehicles) by using a Gaussian Mixture Model (GMM) with 2 types of distribution, i.e. Bacground and Foreground distribution. The shape of the foreground distribution is filtered by morphological operations and segmented by using Bit Large Object (BLOB) Segmentation to get the vehicle dimensions. Feature extraction results of these vehicles, will be used as data cluster for vehicles classification by using Fuzzy Cluster Means (FCM). Resulting experiments show good results with 91.3% of accuracy rate.Index Terms—GMM, BLOB, FCM, Classification.

Full text
Show more arrow
 
More from this journal
Antena Mikrostrip Circular Array Dual Frekuensi
Antena Mikrostrip Circular Array Dual Frekuensi Image
Game Chicken Roll Dengan Menggunakan Metode Forward Chaining
Game Chicken Roll Dengan Menggunakan Metode Forward Chaining Image
🧐  Browse all from this journal

Metrics

  • Eye Icon 397 views
  • Download Icon 896 downloads
Metrics Icon 397 views  //  896 downloads