An Innovative Approach Towards Violence Recognition Based on Deep Belief Network

This paper provides an informative overview about the structure, the operating principle, and the mathematical model of the Deep Belief Network (DBN) which is one of the best known and trusted deep learning models as well as a brief outline of the well-known and, likewise, the suggested pattern reco...

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Veröffentlicht in:International Conference on Control, Decision and Information Technologies (Online) Jg. 1; S. 1297 - 1302
Hauptverfasser: Lejmi, Wafa, Ben Khalifa, Anouar, Mahjoub, Mohamed Ali
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 17.05.2022
Schlagworte:
Classification
Contrastive Divergence
DBN
Deep
Deep learning
Hidden
Layer
Learning
Neural Network
Neural networks
Object oriented modeling
RBM
Target recognition
Training
Video sequences
Violence
Visible
Visualization
ISSN:2576-3555
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Beschreibung
Zusammenfassung:This paper provides an informative overview about the structure, the operating principle, and the mathematical model of the Deep Belief Network (DBN) which is one of the best known and trusted deep learning models as well as a brief outline of the well-known and, likewise, the suggested pattern recognition applications that make wide use of this specific kind of neural network based on probability model. The application particularly targeted in this paper is the recognition of actions of violence. Hence, various experimentations have been conducted by varying several parameters using DeeBNet object-oriented MATLAB toolbox and the proposed approach returned an accuracy of 65.5 %.
ISSN:2576-3555
DOI:10.1109/CoDIT55151.2022.9803898