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.

Bibliographische Detailangaben
Hauptverfasser: Siddique, Labib Ahmed, Junhai, Rabita, Islam, Moshfeka, Qader, Shafinaz
Weitere Verfasser: Chakrabarty, Dr. Amitabha
Format: Abschlussarbeit
Sprache:en_US
Veröffentlicht: Brac University 2022
Schlagworte:
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)
Online Zugang:http://hdl.handle.net/10361/17652

Online

http://hdl.handle.net/10361/17652

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