Moving objects detection in thermal scene videos using unsupervised Bayesian classifier with bootstrap Gaussian expectation maximization algorithm

In this paper, a new algorithm for moving object detection is proposed by using unsupervised Bayesian classifier with bootstrap Gaussian expectation maximization algorithm. It consists of the following steps: the first contains of classify and estimate the motion vectors between successive frames us...

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Veröffentlicht in:	Multimedia tools and applications Jg. 83; H. 2; S. 6335 - 6350
1. Verfasser:	Kerfa, Djoudi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2024 Springer Nature B.V
Schlagworte:	Algorithms Bayesian analysis Classifiers Computer Communication Networks Computer Science Data Structures and Information Theory Diamonds Maximization Morphology Moving object recognition Multimedia Multimedia Information Systems Optimization Pixels Search algorithms Special Purpose and Application-Based Systems Surveillance Track 6: Computer Vision for Multimedia Applications Gaussian expectation of maximization Unsupervised bayesian classifier Block matching algorithm Infrared video sequences Moving object detection
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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