Real-time recognition of suicidal behavior using an RGB-D camera [r-libre/1221]

Li, Bo; Bouachir, Wassim; Gouiaa, Rafik et Noumeir, Rita (2017). Real-time recognition of suicidal behavior using an RGB-D camera. Dans Proceedings of the Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA 2017). Montréal, Canada : IEEE Xplore Digital Library.

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Catégorie de document :	Communications dans des actes de congrès/colloques
Évaluation par un comité de lecture :	Oui
Étape de publication :	Publié
Résumé :	Inmates in solitary confinement may attempt to harm themselves in many ways, resulting in trivial to mortal injuries. In this context, suicide by hanging is one of the major causes of death among the incarcerated. The Rapid detection of suicide can reduce the mortality rate. Recently, several technologies have been developed to detect suicide by hanging attempts, but most of them use bulky devices, or they are greatly depending on human attention. In this paper, we propose a computer vision based system to automatically detect suicide by hanging attempts. Our method is based on modeling suicidal actions using pose and motion features, by exploiting the body joints' positions. The proposed video surveillance system analyses depth images provided by an RGB-D camera to detect the event of interest in real-time, regardeless of illumination conditions. The experimental results obtained on a realistic dataset demonstrated the high precision of our system in detecting suicide by hanging.
Adresse de la version officielle :	https://ieeexplore.ieee.org/document/8310087
Déposant:	Bouachir, Wassim
Responsable :	Wassim Bouachir
Dépôt :	11 oct. 2017 19:55
Dernière modification :	13 janv. 2020 16:22

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