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.

Xehetasun bibliografikoak
Egile nagusia: Ghosh, Dipon Kumar
Beste egile batzuk: Chakrabarty, Amitabha
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2022
Gaiak:
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)
Sarrera elektronikoa:http://hdl.handle.net/10361/15946

Internet

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

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