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.

Bibliographische Detailangaben
1. Verfasser:	Ghosh, Dipon Kumar
Weitere Verfasser:	Chakrabarty, Amitabha
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2022
Schlagworte:	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)
Online Zugang:	http://hdl.handle.net/10361/15946

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

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