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
Autores principales: Sakiba, Cyrus, Tarannum, Syeda Maisha, Nur, Farzana, Arpan, Fahad Faisal, Anzum, Ahnaf Ahmed
Otros Autores: Rahman, Md. Khalilur
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
Deep learning
Bidirectional LSTM
YOLOv7
YOLOv4
MobilenetV2
Violence prediction
Realtime
Machine learning
Cognitive learning theory
Real-time data processing
Acceso en línea:http://hdl.handle.net/10361/22038

Internet

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

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