Detecting Potential Violent Behavior Using Deep Learning

Repozitář DSpace/Manakin

Jazyk: English čeština 

Detecting Potential Violent Behavior Using Deep Learning

Zobrazit celý záznam

Není dostupný náhled
Název: Detecting Potential Violent Behavior Using Deep Learning
Autor: Owoh, Dalton Chukwuezugo
Vedoucí: Šenkeřík, Roman
Abstrakt: In this master's thesis, four deep learning models - DenseNet-121, Inception-v3, ResNet50, and VGG-16 were implemented to detect potential violent behavior by applying transfer learning principles. In the theoretical part, a comprehensive review of literature in the field of human violence detection was conducted to identify prevalent strengths and gaps in existing research work. The results of the experiments conducted in this work showed the best performance with accuracy values of 98%. This work recommends, among other key findings, that future research be geared towards exploring the generalization of results from this experiment across larger datasets with adaptations to a broader domain. The future work will also benefit greatly from further hyperparameter tuning of models with more configurations.
URI: http://hdl.handle.net/10563/54655
Datum: 2023-11-05
Dostupnost: Bez omezení
Ústav: Ústav informatiky a umělé inteligence
Studijní obor: Software Engineering


Citace závěřečné práce

Soubory tohoto záznamu

Soubory Velikost Formát Zobrazit Popis
owoh_2024_dp.pdf 3.307Mb PDF Zobrazit/otevřít None
attachment.zip 6.075Gb application/zip Zobrazit/otevřít None

Tento záznam se objevuje v následujících kolekcích

Zobrazit celý záznam

Find fulltext

Prohledat DSpace


Procházet

Můj účet