An Effective Subsuperpixel-Based Approach for Background Subtraction

How to achieve competitive accuracy and less computation time simultaneously for background estimation is still an intractable task. In this paper, an effective background subtraction approach for video sequences is proposed based on a subsuperpixel model. In our algorithm, the superpixels of the fi...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 67; H. 1; S. 601 - 609
Hauptverfasser:	Chen, Yu-Qiu, Sun, Zhan-Li, Lam, Kin-Man
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> k</tex-math> </inline-formula> </named-content>-means clustering Accuracy Algorithms Background subtraction Clustering Clustering algorithms Computational modeling Feature extraction Image representation Image sequences Iteraitve methods Iterative methods Model updating Moving object recognition Object detection Representations Subtraction superpixel
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
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