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.

Opis bibliograficzny
Główni autorzy:	Sakiba, Cyrus, Tarannum, Syeda Maisha, Nur, Farzana, Arpan, Fahad Faisal, Anzum, Ahnaf Ahmed
Kolejni autorzy:	Rahman, Md. Khalilur
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2023
Hasła przedmiotowe:	Deep learning Bidirectional LSTM YOLOv7 YOLOv4 MobilenetV2 Violence prediction Realtime Machine learning Cognitive learning theory Real-time data processing
Dostęp online:	http://hdl.handle.net/10361/22038

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