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.

Dades bibliogràfiques
Autors principals: Sakiba, Cyrus, Tarannum, Syeda Maisha, Nur, Farzana, Arpan, Fahad Faisal, Anzum, Ahnaf Ahmed
Altres autors: Rahman, Md. Khalilur
Format: Thesis
Idioma:English
Publicat: Brac University 2023
Matèries:
Deep learning
Bidirectional LSTM
YOLOv7
YOLOv4
MobilenetV2
Violence prediction
Realtime
Machine learning
Cognitive learning theory
Real-time data processing
Accés en línia:http://hdl.handle.net/10361/22038

Internet

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

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