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.

Bibliografiset tiedot
Päätekijä: Ghosh, Dipon Kumar
Muut tekijät: Chakrabarty, Amitabha
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2022
Aiheet:
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)
Linkit:http://hdl.handle.net/10361/15946

Internet

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

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