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.

Detalles Bibliográficos
Autor principal:	Ghosh, Dipon Kumar
Otros Autores:	Chakrabarty, Amitabha
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2022
Materias:	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)
Acceso en línea:	http://hdl.handle.net/10361/15946

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

Ejemplares similares