Open AccessMENDETEKSI SECARA OTOMATIS OBJEK GERAKAN BERDASARKAN GAUSSIAN MIXTURE MODEL MENGGUNAKAN APLIKASI MATLAB
Author(s) -
Aldina Syahfaridzah,
Adelia Kartika Panggabean,
Nabila Ayu Ardiningsih
Publication year - 2020
Publication title -
methodika/methodika : jurnal teknik informatika sistem informasi
Language(s) - English
Resource type - Journals
eISSN - 2614-3143
pISSN - 2442-7861
DOI - 10.46880/mtk.v6i2.242
Subject(s) - mixture model , matlab , computer science , artificial intelligence , object (grammar) , computer vision , gaussian , pixel , gaussian network model , object detection , pattern recognition (psychology) , physics , operating system , quantum mechanics
Automatically detects moving objects on a pedestrian video, each object will be detected by counting objects that appear at the beginning of the video based on a number. In detecting this object, the model used is the Gaussian Mixture Model whose performance is very effective if applied to any area that occurs in an object motion detected in the video. In this study, the Gaussian Mixture Model is used to model the background colors of each pixel. To facilitate the detection of this object, the Matlab 2016 application is also used, this application helps facilitate detection based on the size that will be adjusted according to the object to be detected.