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.

Dettagli Bibliografici
Autori principali: Siddique, Labib Ahmed, Junhai, Rabita, Islam, Moshfeka, Qader, Shafinaz
Altri autori: Chakrabarty, Dr. Amitabha
Natura: Tesi
Lingua:en_US
Pubblicazione: Brac University 2022
Soggetti:
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)
Accesso online:http://hdl.handle.net/10361/17652
Descrizione
Riassunto:This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Documenti analoghi