Grant: Collaborative Research and Development Grants
École de technologie supérieure
$50,000.00
An intelligent vision-based system for detecting self-harm behavior
FY 2018-19
Summary
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.
Program
Collaborative Research and Development Grants
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
523637-2018
Name nom
Noumeir, Rita
Department département
Génie électrique
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
50000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2708
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Image processing
Research subject fr
Traitement des images
Partie
1
Nb partie
1
Application title
An intelligent vision-based system for detecting self-harm behavior
Keyword
NSERC
Application summary
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.