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.

Библиографические подробности
Главный автор: Ghosh, Dipon Kumar
Другие авторы: Chakrabarty, Amitabha
Формат: Диссертация
Язык:English
Опубликовано: Brac University 2022
Предметы:
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-ссылка:http://hdl.handle.net/10361/15946

Internet

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

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