Moving object detection using statistical background subtraction in wavelet compressed domain

Moving object detection is a fundamental task and extensively used research area in modern world computer vision applications. Background subtraction is one of the widely used and the most efficient technique for it, which generates the initial background using different statistical parameters. Due...

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Veröffentlicht in:	Multimedia tools and applications Jg. 79; H. 9-10; S. 5919 - 5940
Hauptverfasser:	Sengar, Sandeep Singh, Mukhopadhyay, Susanta
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2020 Springer Nature B.V
Schlagworte:	Algorithms Aperture Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Domains Morphology Moving object recognition Multimedia Multimedia Information Systems Optimization techniques Parameters Pixels Principal components analysis Segmentation Special Purpose and Application-Based Systems Subtraction Surveillance Video data Wavelet transforms Wavelet Statistical parameters Background subtraction Moving object detection Morphology
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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