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.

Bibliografische gegevens
Hoofdauteurs:	Sakiba, Cyrus, Tarannum, Syeda Maisha, Nur, Farzana, Arpan, Fahad Faisal, Anzum, Ahnaf Ahmed
Andere auteurs:	Rahman, Md. Khalilur
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2023
Onderwerpen:	Deep learning Bidirectional LSTM YOLOv7 YOLOv4 MobilenetV2 Violence prediction Realtime Machine learning Cognitive learning theory Real-time data processing
Online toegang:	http://hdl.handle.net/10361/22038

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