Leveraging Transfer Learning for Spatio-Temporal Human Activity Recognition from Video Sequences-Reference-Cited by-同舟云学术

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Leveraging Transfer Learning for Spatio-Temporal Human Activity Recognition from Video Sequences

Published:2023 Issue:3 Volume:74 Page:5017-5033
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Muneer Butt Umair,Aman Ullah Hadiqa,Letchmunan Sukumar,Tariq Iqra,Hafinaz Hassan Fadratul,Wei Koh Tieng

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference52 articles.

1. Potion: Pose motion representation for action recognition;Choutas,2018

2. A survey on using domain and contextual knowledge for human activity recognition in video streams;Onofri;Expert Systems with Applications,2016

3. Human activity recognition: A survey;Jobanputra;Procedia Computer Science,2019

4. Deep learning for sensor-based activity recognition: A survey;Wang;Pattern Recognition Letters,2019a

5. Analysis of deep neural networks for human activity recognition in videos–a systematic literature review;Ullah;IEEE Access,2021

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