Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Opis bibliograficzny
Główni autorzy:	Siddique, Labib Ahmed, Junhai, Rabita, Islam, Moshfeka, Qader, Shafinaz
Kolejni autorzy:	Chakrabarty, Dr. Amitabha
Format:	Praca dyplomowa
Język:	en_US
Wydane:	Brac University 2022
Hasła przedmiotowe:	Artificial Intelligence Deep learning Neural network Violence detection Video classification Attention based encoder LRCN ConvLSTM Transformer C3D Neural networks (Computer science) Neural network. Deep learning (Machine learning)
Dostęp online:	http://hdl.handle.net/10361/17652

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