Multi-oriented run length based static and dynamic features fused with Choquet fuzzy integral for human fall detection in videos

Bilal Hadjadji; Matthieu Saumard; Michael Aron

doi:10.1016/j.jvcir.2021.103375

Journal Articles Journal of Visual Communication and Image Representation Year : 2022

Multi-oriented run length based static and dynamic features fused with Choquet fuzzy integral for human fall detection in videos

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1

Bilal Hadjadji

Function : Author

Vision et Analyse de Données

Matthieu Saumard

Function : Author
PersonId : 185065
IdHAL : matthieu-saumard
ORCID : 0000-0001-7615-707X

Vision et Analyse de Données

CV

Michael Aron

Function : Author

Vision et Analyse de Données

Domains

Computer Science [cs] Computer Vision and Pattern Recognition [cs.CV] Computer Science [cs] Artificial Intelligence [cs.AI]

Matthieu Saumard : Connect in order to contact the contributor

https://hal.inria.fr/hal-03517202

Submitted on : Friday, January 7, 2022-4:23:45 PM

Last modification on : Sunday, January 9, 2022-3:23:55 AM

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hal-03517202 , version 1 (07-01-2022)

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HAL Id : hal-03517202 , version 1
DOI : 10.1016/j.jvcir.2021.103375

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Bilal Hadjadji, Matthieu Saumard, Michael Aron. Multi-oriented run length based static and dynamic features fused with Choquet fuzzy integral for human fall detection in videos. Journal of Visual Communication and Image Representation, 2022, 82, ⟨10.1016/j.jvcir.2021.103375⟩. ⟨hal-03517202⟩

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Multi-oriented run length based static and dynamic features fused with Choquet fuzzy integral for human fall detection in videos

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