Weakly Supervised Video Anomaly Detection Based on 3D Convolution and LSTM

Weakly Supervised Video Anomaly Detection Based on 3D Convolution and LSTM

Weakly supervised video anomaly detection is a recent focus of computer vision research thanks to the availability of large-scale weakly supervised video datasets. However, most existing research works are limited to the frame-level classification with emphasis on finding the presence of specific ob...

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Bibliographic Details
Main Authors: Zhen Ma, José J. M. Machado, João Manuel R. S. Tavares
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
video anomaly detection
three-dimensional convolution
LSTM
weakly supervised
spatial-temporal features
max-pooling
Online Access:https://www.mdpi.com/1424-8220/21/22/7508

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https://www.mdpi.com/1424-8220/21/22/7508

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