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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Ghosh, Dipon Kumar
Άλλοι συγγραφείς: Chakrabarty, Amitabha
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2022
Θέματα:
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)
Διαθέσιμο Online:http://hdl.handle.net/10361/15946

Διαδίκτυο

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

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