Combining Background Subtraction and Convolutional Neural Network for Anomaly Detection in Pumping-Unit Surveillance

Combining Background Subtraction and Convolutional Neural Network for Anomaly Detection in Pumping-Unit Surveillance

Background subtraction plays a fundamental role for anomaly detection in video surveillance, which is able to tell where moving objects are in the video scene. Regrettably, the regular rotating pumping unit is treated as an abnormal object by the background-subtraction method in pumping-unit surveil...

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Bibliographic Details
Main Authors: Tianming Yu, Jianhua Yang, Wei Lu
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Algorithms
Subjects:
background subtraction
transfer learning
classification
Online Access:https://www.mdpi.com/1999-4893/12/6/115

Internet

https://www.mdpi.com/1999-4893/12/6/115

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