期刊
BIG DATA, CLOUD AND COMPUTING CHALLENGES
卷 50, 期 -, 页码 566-571出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procs.2015.04.085
关键词
Background subtraction; foreground detection; background modeling; ViBe; SOBS; PBAS
In Image Processing, a very trivial task is to detect the changes in the multiple images of the same scene of a real time instant. The task is not only trivial but also very indispensable as it brings into play a great number of diversified subject area applications such as, remote sensing, surveillance, medical d iagnosis and treatment, security surveillance, and underwater sensing. The main perspective of this survey is to give a nomenclature study of the general processing steps and prime decision rules used in the advanced change detection algorithms, which are employed for the real time video surveillance. The real time video surveillance models encompass the predictive and the background modelling techniques. The survey also emphasizes on the comparison of the processing speed of the various change detection algorithms applied in real time video surveillance. (C) 2015 The Authors. Published by Elsevier B.V.
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