An intelligent vision-based system for detecting self-harm behavior
用于检测自残行为的基于智能视觉的系统
基本信息
- 批准号:523637-2018
- 负责人:
- 金额:$ 3.64万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
自残是惩教机构中常见的死亡原因。不断监测和迅速发现 ** 自我伤害事件对于保护囚犯的生命和降低死亡率至关重要。在过去的几十年里,已经开发了几种技术来防止监狱中的自杀企图。然而,他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。我们的目标是开发自主视频监控解决方案,以便智能地检测监狱中危及生命的事件,并进行快速反应式干预。拟议的系统将在实际情况下持续运行,以检测上吊或割腕自杀企图; 2-两名囚犯之间的打架; 3-以及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的最新进展来实现。该项目将带来智能视频监控领域的新知识,** 同时有助于培训高素质的人才,他们将在加拿大各地获得高需求的专业知识。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,用于 ** 惩教服务。预计这一产品的影响将不仅仅是经济上的。这将有助于挽救处于危险中的被监禁者的生命,并避免由此造成的痛苦。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Noumeir, Rita其他文献
Inflight Broadband Connectivity Using Cellular Networks
- DOI:
10.1109/access.2016.2537648 - 发表时间:
2016-01-01 - 期刊:
- 影响因子:3.9
- 作者:
Tadayon, Navid;Kaddoum, Georges;Noumeir, Rita - 通讯作者:
Noumeir, Rita
Arterial Partial Pressures of Carbon Dioxide Estimation Using Non-Invasive Parameters in Mechanically Ventilated Children
- DOI:
10.1109/tbme.2020.3001441 - 发表时间:
2021-01-01 - 期刊:
- 影响因子:4.6
- 作者:
El Tannoury, Jihad;Sauthier, Michael;Noumeir, Rita - 通讯作者:
Noumeir, Rita
Infrared and 3D Skeleton Feature Fusion for RGB-D Action Recognition
- DOI:
10.1109/access.2020.3023599 - 发表时间:
2020-01-01 - 期刊:
- 影响因子:3.9
- 作者:
De Boissiere, Alban Main;Noumeir, Rita - 通讯作者:
Noumeir, Rita
Vision-Based Fall Detection Using ST-GCN
- DOI:
10.1109/access.2021.3058219 - 发表时间:
2021-01-01 - 期刊:
- 影响因子:3.9
- 作者:
Keskes, Oussema;Noumeir, Rita - 通讯作者:
Noumeir, Rita
Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children: A single center pilot study
- DOI:
10.1371/journal.pone.0198921 - 发表时间:
2019-02-20 - 期刊:
- 影响因子:3.7
- 作者:
Ghazal, Sam;Sauthier, Michael;Noumeir, Rita - 通讯作者:
Noumeir, Rita
Noumeir, Rita的其他文献
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{{ truncateString('Noumeir, Rita', 18)}}的其他基金
Decision support for the intensive care
重症监护决策支持
- 批准号:
RGPIN-2019-06205 - 财政年份:2022
- 资助金额:
$ 3.64万 - 项目类别:
Discovery Grants Program - Individual
Decision support for the intensive care
重症监护的决策支持
- 批准号:
RGPIN-2019-06205 - 财政年份:2021
- 资助金额:
$ 3.64万 - 项目类别:
Discovery Grants Program - Individual
An intelligent vision-based system for detecting self-harm behavior
用于检测自残行为的基于智能视觉的系统
- 批准号:
523637-2018 - 财政年份:2020
- 资助金额:
$ 3.64万 - 项目类别:
Collaborative Research and Development Grants
Decision support for the intensive care
重症监护的决策支持
- 批准号:
RGPIN-2019-06205 - 财政年份:2020
- 资助金额:
$ 3.64万 - 项目类别:
Discovery Grants Program - Individual
An intelligent vision-based system for detecting self-harm behavior
用于检测自残行为的基于智能视觉的系统
- 批准号:
523637-2018 - 财政年份:2019
- 资助金额:
$ 3.64万 - 项目类别:
Collaborative Research and Development Grants
Decision support for the intensive care
重症监护的决策支持
- 批准号:
RGPIN-2019-06205 - 财政年份:2019
- 资助金额:
$ 3.64万 - 项目类别:
Discovery Grants Program - Individual
Medical Image Compression
医学图像压缩
- 批准号:
171073-2013 - 财政年份:2017
- 资助金额:
$ 3.64万 - 项目类别:
Discovery Grants Program - Individual
Intelligent surveillance for event detection
事件检测的智能监控
- 批准号:
498033-2016 - 财政年份:2016
- 资助金额:
$ 3.64万 - 项目类别:
Engage Plus Grants Program
Real-time telemedicine for emergency medical evacuation by air transportation
通过航空运输进行紧急医疗后送的实时远程医疗
- 批准号:
465644-2014 - 财政年份:2015
- 资助金额:
$ 3.64万 - 项目类别:
Collaborative Research and Development Grants
Medical Image Compression
医学图像压缩
- 批准号:
171073-2013 - 财政年份:2015
- 资助金额:
$ 3.64万 - 项目类别:
Discovery Grants Program - Individual
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An intelligent vision-based system for detecting self-harm behavior
用于检测自残行为的基于智能视觉的系统
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523637-2018 - 财政年份:2020
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Collaborative Research and Development Grants
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An intelligent vision-based system for detecting self-harm behavior
用于检测自残行为的基于智能视觉的系统
- 批准号:
523637-2018 - 财政年份:2019
- 资助金额:
$ 3.64万 - 项目类别:
Collaborative Research and Development Grants