Automated vision-based systems have been suggested for complementary monitoring in Intensive Care Units (ICU) due to their ability to detect behavioral cues used in sedation delivery and accident detection. However, data acquisition is a major limitation: single-camera systems are reliable but not very capable where complex systems are unable to work unattendedly. This has prevented the development of complex behavioral analysis algorithms. In this paper we present a Medical Recording Device (MRD) developed for long term ICU monitoring, including three major vision components: stereo, depth and hi-res, together with a number of secondary sensors. Unlike current approaches which require controlled environments, image markers and optimal lighting conditions, the MRD is capable of registering behavioral cues autonomously regardless of the environment conditions.
['Manuel Amezcua Martínez', 'Rainer Stiefelhagen']
Automated Multi-Camera System for Long Term Behavioral Monitoring in Intensive Care Units