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.

Bibliografiska uppgifter
Huvudupphovsman:	Ghosh, Dipon Kumar
Övriga upphovsmän:	Chakrabarty, Amitabha
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2022
Ämnen:	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)
Länkar:	http://hdl.handle.net/10361/15946

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

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