An intelligent vision-based system for detecting self-harm behavior

自残是惩教机构中常见的死亡原因。持续监测和快速检测 自我伤害事件的预防对于保护囚犯的生命和降低死亡率至关重要。在过去 几十年来，已经开发了几种技术来防止监狱中的自杀企图。但大多数 它们中的大多数使用笨重的设备和/或在很大程度上依赖于人类警卫的注意和干预。我们 目标是开发自主视频监控解决方案，以智能检测危及生命的 监狱中发生的事件，并允许快速和反应性干预。拟议的系统将被设计为运行 不断在现实条件下发现上吊或割腕自杀企图; 2- 两名囚犯; 3-和危及生命的情况的症状。这些目标将通过确保 有效利用视觉采集技术、计算机视觉方法和 人工智能该项目将导致在智能视频监控领域的新知识， 同时有助于培养高素质的人才，他们将获得各领域高需求的专业知识， 加拿大我们的工作还将使我们的工业合作伙伴能够开发一种商业产品， 惩教署预计这一产品的影响将不仅仅是经济上的。它将帮助 拯救处于危险中的被监禁者的生命，并避免由此造成的痛苦。

Self-harm is a common cause of death in correctional settings. The constant monitoring and the rapid detection of self-harm events are crucial for protecting inmates' lives and reducing the mortality rates. During the last decades, several technologies have been developed for preventing suicide attempts in prisons. However, most of them use cumbersome devices and/or are greatly depending on human guard attention and intervention. Our objective is to develop autonomous video surveillance solutions in order to intelligently detect life-threatening events in prisons, and allow a rapid and reactive intervention. The proposed system will be designed to operate continuously in realistic conditions to detect suicide attempts by hanging or by wrist cutting; 2- fights between two inmates; 3- and symptoms of life threatening situations. These objectives will be achieved by ensuring the efficient exploitation of recent advances in visual acquisition technologies, computer vision methods and artificial intelligence. This project will lead to new knowledge in the intelligent video surveillance domain, while contributing to training highly qualified personnel who will acquire an expertise in high demand across Canada. Our work will also allow our industrial partner to develop a commercial product to be deployed in correctional services. The impact of this product is expected to be more than merely economic. It will help saving the lives of incarcerated people at risk, and avoid the resulting suffering.