Edge Detection-Based Feature Extraction for the Systems of Activity Recognition

Human activity recognition (HAR) is a fascinating and significant challenging task. Generally, the accuracy of HAR systems relies on the best features from the input frames. Mostly, the activity frames have the hostile noisy conditions that cannot be handled by most of the existing edge operators. I...

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Detalles Bibliográficos
Autores principales: Siddiqi, Muhammad Hameed, Alrashdi, Ibrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820868/
https://www.ncbi.nlm.nih.gov/pubmed/35140779
http://dx.doi.org/10.1155/2022/8222388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820868/
https://www.ncbi.nlm.nih.gov/pubmed/35140779
http://dx.doi.org/10.1155/2022/8222388

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