SuperBE: computationally light background estimation with superpixels

This paper presents a motion-based superpixel-level background estimation algorithm that aims to be competitively accurate while requiring less computation time for background modelling and updating. Superpixels are chosen for their spatial and colour coherency and can be grouped together to better...

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Vydané v:	Journal of real-time image processing Ročník 16; číslo 6; s. 2319 - 2335
Hlavní autori:	Chen, Andrew Tzer-Yeu, Biglari-Abhari, Morteza, Wang, Kevin I-Kai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2019 Springer Nature B.V
Predmet:	Accuracy Algorithms Batch processing Color Computer Graphics Computer Science Cost control Covariance matrix Embedded systems Image Processing and Computer Vision Multimedia Information Systems Original Research Paper Pattern Recognition Signal,Image and Speech Processing Surveillance Computer vision Image motion analysis Background estimation Real-time systems Embedded vision Object segmentation
ISSN:	1861-8200, 1861-8219
On-line prístup:	Získať plný text
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