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.

Opis bibliograficzny
1. autor: Ghosh, Dipon Kumar
Kolejni autorzy: Chakrabarty, Amitabha
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2022
Hasła przedmiotowe:
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)
Dostęp online:http://hdl.handle.net/10361/15946

Internet

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

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