Efficient Spatio-temporal feature extraction for human action recognition

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.

Podrobná bibliografie
Hlavní autor:	Ghosh, Dipon Kumar
Další autoři:	Chakrabarty, Amitabha
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2022
Témata:	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)
On-line přístup:	http://hdl.handle.net/10361/15946

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