Name
Title | ||
|---|---|---|
Privacy-preserving intelligent networked video surveillance for patient monitoring and alarm detection |
Abstract | ||
|---|---|---|
An adaptive intelligent video surveillance and motion detection system employing a network of IP cameras for patient monitoring and alarm generation is presented which ensures patients privacy through the use and processing of motion information instead of the real image of a monitored person. Minimization or even complete avoidance of false alarms is achieved, since the system proceeds to the announcement of alarms only when a series of user-defined conditions is met. The proposed system is highly configurable to adapt both to different areas of video surveillance and to several categories of monitored persons as well as to generate those alarms that concern the health carer. The system demonstrates a noteworthy performance enabling efficient system deployments involving large camera networks, as well as the packaging of a full-featured application in tiny cost and size computing devices. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2769493.2769509 | International Conference on Pervasive Technologies Related to Assistive Environments |
Keywords | Field | DocType |
Patient monitoring, video surveillance, motion detection, privacy, fall detection, assistive environments, intelligent environments | Motion detection,ALARM,Remote patient monitoring,Simulation,Computer science,Camera network,Minification,Real image | Conference |
Citations | PageRank | References |
1 | 0.38 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Apostolos Meliones | 1 | 62 | 16.35 |
| Simos Kokkovos | 2 | 1 | 0.38 |