A steerable pyramid autoencoder based framework for anomaly frame detection of water pipeline CCTV inspection

Closed-circuit television (CCTV) is being widely adopted in water pipeline inspection. The inspector needs to spend a long time to watch the recorded video during the office-based survey and can get fatigue easily. An automated process can release the inspector’s work load and ensure the consistent...

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Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 174; s. 109020
Hlavní autori:	Jiao, Yutong, Rayhana, Rakiba, Bin, Junchi, Liu, Zheng, Wu, Angie, Kong, Xiangjie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.04.2021
Predmet:	Anomaly frame detection Autoencoder CCTV inspection Classification Deep learning Steerable pyramid Water pipeline Steerable pyramid Deep learning Autoencoder Anomaly frame detection CCTV inspection Classification Water pipeline
ISSN:	0263-2241, 1873-412X
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