A Fully Convolutional Encoder-Decoder Spatial-Temporal Network for Real-Time Background Subtraction

Background subtraction is described as the task of distinguishing pixels into moving objects and the background in a frame. In this paper, we propose a fully convolutional encoder-decoder spatial-temporal network (FCESNet) to achieve real-time background subtraction. In the proposed many-to-many arc...

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Vydáno v:	IEEE access Ročník 7; s. 85949 - 85958
Hlavní autoři:	Qiu, Mingkai, Li, Xiying
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptation models Background subtraction Coders Decoding Deep learning Encoders-Decoders Feature extraction Frames (data processing) Information processing many-to-many Real time Real-time systems scene compatibility Subtraction Training
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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