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.

Bibliografiset tiedot
Päätekijät: Sakiba, Cyrus, Tarannum, Syeda Maisha, Nur, Farzana, Arpan, Fahad Faisal, Anzum, Ahnaf Ahmed
Muut tekijät: Rahman, Md. Khalilur
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2023
Aiheet:
Deep learning
Bidirectional LSTM
YOLOv7
YOLOv4
MobilenetV2
Violence prediction
Realtime
Machine learning
Cognitive learning theory
Real-time data processing
Linkit:http://hdl.handle.net/10361/22038

Internet

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

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