Violence Detection Enhancement by Involving Convolutional Block Attention Modules Into Various Deep Learning Architectures: Comprehensive Case Study for UBI-Fights Dataset

Violence Detection Enhancement by Involving Convolutional Block Attention Modules Into Various Deep Learning Architectures: Comprehensive Case Study for UBI-Fights Dataset

Violence detection in surveillance videos is a complicated task, due to the requirements of extracting the spatio-temporal features in different videos environment, and various video perspective cases. Hereby, in this paper, different architectures are proposed to perform this task in high performan...

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Bibliographic Details
Main Authors: Mahmoud Abdelkader Bashery Abbass, Hyun-Soo Kang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Area under the curve metric
categorical focal loss
ConvLSTM2D
convolutional block attention module
equal error rate metric
spatio-temporal features
Online Access:https://ieeexplore.ieee.org/document/10102455/

Internet

https://ieeexplore.ieee.org/document/10102455/

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