使用MATLAB应用程序自动检测基于GAUSSIAN混合模型的运动对象

Aldina Syahfaridzah, Adelia Kartika Panggabean, Nabila Ayu Ardiningsih
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引用次数: 1

摘要

自动检测行人视频上的移动物体,每个物体将通过计数在视频开始时出现的物体来检测。在检测该物体时,使用的模型是高斯混合模型,如果应用于视频中检测到的物体运动中出现的任何区域,其性能非常有效。在本研究中,使用高斯混合模型对每个像素的背景颜色进行建模。为了方便检测该对象,还使用了Matlab 2016应用程序,该应用程序可以根据要检测的对象调整大小,从而方便检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MENDETEKSI SECARA OTOMATIS OBJEK GERAKAN BERDASARKAN GAUSSIAN MIXTURE MODEL MENGGUNAKAN APLIKASI MATLAB
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.
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