Efficient Spatio-temporal feature extraction for human action recognition

This thesis is submitted in partial fulfilment of the requirements for the degree of Master of Engineering in Computer Science and Engineering, 2021.

Detalhes bibliográficos
Autor principal:	Ghosh, Dipon Kumar
Outros Autores:	Chakrabarty, Amitabha
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2022
Assuntos:	Human action recognition (HAR) Surveillance systems Violence detection Skeleton-based human action recognition Convolutional neural network (CNN) Graph convolutional networks (GCN) Feature fusion Human activity recognition Neural network (Computer Science)
Acesso em linha:	http://hdl.handle.net/10361/15946

http://hdl.handle.net/10361/15946

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