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.

Détails bibliographiques
Auteur principal:	Ghosh, Dipon Kumar
Autres auteurs:	Chakrabarty, Amitabha
Format:	Thèse
Langue:	English
Publié:	Brac University 2022
Sujets:	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)
Accès en ligne:	http://hdl.handle.net/10361/15946

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

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