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.

Dades bibliogràfiques
Autor principal: Ghosh, Dipon Kumar
Altres autors: Chakrabarty, Amitabha
Format: Thesis
Idioma:English
Publicat: Brac University 2022
Matèries:
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)
Accés en línia:http://hdl.handle.net/10361/15946

Internet

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

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