Online Space-Variant Background Modeling With Sparse Coding

In this paper, we propose a sparse coding approach to background modeling. The obtained model is based on dictionaries which we learn and keep up to date as new data are provided by a video camera. We observe that, without dynamic events, video frames may be seen as noisy data belonging to the backg...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 24; H. 8; S. 2415 - 2428
Hauptverfasser:	Stagliano, Alessandra, Noceti, Nicoletta, Verri, Alessandro, Odone, Francesca
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2015
Schlagworte:	Adaptation models Cameras Complexity theory Dictionaries Image reconstruction Streaming media Training space-variant dictionary learning and sparse coding representations Background subtraction
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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