Real-time crime detection using convolutional LSTM and YOLOv7

Real-time crime detection using convolutional LSTM and YOLOv7

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Detalles Bibliográficos
Main Authors: Sakiba, Cyrus, Tarannum, Syeda Maisha, Nur, Farzana, Arpan, Fahad Faisal, Anzum, Ahnaf Ahmed
Outros autores: Rahman, Md. Khalilur
Formato: Thesis
Idioma:English
Publicado: Brac University 2023
Subjects:
Deep learning
Bidirectional LSTM
YOLOv7
YOLOv4
MobilenetV2
Violence prediction
Realtime
Machine learning
Cognitive learning theory
Real-time data processing
Acceso en liña:http://hdl.handle.net/10361/22038

Internet

http://hdl.handle.net/10361/22038

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