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

Li, Bo; Bouachir, Wassim; Gouiaa, Rafik, & Noumeir, Rita (2017). Real-time recognition of suicidal behavior using an RGB-D camera. In 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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Content : Accepted Version
Item Type: Papers in Conference Proceedings
Refereed: Yes
Status: Published
Abstract: 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.
Official URL: https://ieeexplore.ieee.org/document/8310087
Depositor: Bouachir, Wassim
Owner / Manager: Wassim Bouachir
Deposited: 11 Oct 2017 19:55
Last Modified: 13 Jan 2020 16:22

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