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.

Detaylı Bibliyografya
Yazar: Ghosh, Dipon Kumar
Diğer Yazarlar: Chakrabarty, Amitabha
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2022
Konular:
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 Erişim:http://hdl.handle.net/10361/15946

Internet

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

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