文章基本信息

标题：Motion Detection and Clustering Using PCA and NN in Color Image Sequence
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作者：Mourad Moussa ; Nesrine Bdioui ; Ali Douik 等
期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2018
卷号：16
期号：2
页码：747-754
DOI：10.12928/telkomnika.v16i2.7471
语种：English
出版社：Universitas Ahmad Dahlan
其他摘要：This paper presents a motion detection method with the use of the Principal Component Analysis. This method is able to detect and track moving objects in a sequence of images. The tested sequence is segmented within the meaning of movement. In this paper, the concept of extracting significant information from a large number of data is adopted to provide an effective method for tracking moving objects on the video image. The principal components are different in term of getting significant information, the nature of motion (the nature of information) is responsible of this difference, the algorithm in this paper distinguish the motion nature and choose the appropriate components to give a best segmentation.