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.

Bibliographic Details
Main Author: Ghosh, Dipon Kumar
Other Authors: Chakrabarty, Amitabha
Format: Thesis
Language:English
Published: Brac University 2022
Subjects:
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 Access:http://hdl.handle.net/10361/15946

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