A combination of background modeler and encoder-decoder CNN for background/foreground segregation in image sequence

Detection of visual change or anomaly in the image sequence is a common computer vision problem that can be formulated as background/foreground segregation. To achieve this, the background model is generated and the target (foreground) is detected via background subtraction. We propose a framework f...

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Veröffentlicht in:	Signal, image and video processing Jg. 17; H. 4; S. 1297 - 1304
Hauptverfasser:	Chan, Kwok-Leung, Wang, Jingming, Yu, Han
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.06.2023 Springer Nature B.V
Schlagworte:	Addition & subtraction Algorithms Artificial neural networks Change detection Computer Imaging Computer Science Computer vision Deep learning Encoders-Decoders Feedback Image Processing and Computer Vision Image sequencing Model updating Multimedia Information Systems Neural networks Original Paper Pattern Recognition and Graphics Signal,Image and Speech Processing Target detection Vision Change detection Background subtraction Background generation Anomaly detection Deep learning network
ISSN:	1863-1703, 1863-1711
Online-Zugang:	Volltext
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