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.

Bibliografische gegevens
Hoofdauteur: Ghosh, Dipon Kumar
Andere auteurs: Chakrabarty, Amitabha
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2022
Onderwerpen:
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 toegang:http://hdl.handle.net/10361/15946

Internet

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

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