Video-Based Human Activity Recognition Using Deep Learning Approaches

Video-Based Human Activity Recognition Using Deep Learning Approaches

Due to its capacity to gather vast, high-level data about human activity from wearable or stationary sensors, human activity recognition substantially impacts people’s day-to-day lives. Multiple people and things may be seen acting in the video, dispersed throughout the frame in various places. Beca...

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Bibliographic Details
Main Authors: Guilherme Augusto Silva Surek, Laio Oriel Seman, Stefano Frizzo Stefenon, Viviana Cocco Mariani, Leandro dos Santos Coelho
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
convolutional neural network
deep learning
self-DIstillation with NO labels (DINO)
video human action recognition
vision transformer architecture
Online Access:https://www.mdpi.com/1424-8220/23/14/6384

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https://www.mdpi.com/1424-8220/23/14/6384

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