SMARTCLASSYSURV - a smart camera network for distributed tracking and activity recognition and its application to assisted living

Western societies are aging rapidly. According to [1] the US population over age 85 will triple from 4.5 million in 2003 to 14.2 million by 2040. Automated 24/7 surveillance to ensure safety of the elderly while respecting privacy becomes a major challenge. As a first step, we present a fully distri...

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Bibliographic Details
Main Authors: Fleck, S., Loy, R., Vollrath, C., Walter, F., Strasser, W.
Format: Conference Proceeding
Language:English
Subjects:
activity recognition
Aging
assisted living
Counting circuits
Data visualization
Layout
Privacy
Prototypes
situation awareness
Smart cameras
Support vector machine classification
Support vector machines
Surveillance
tracking
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Summary:Western societies are aging rapidly. According to [1] the US population over age 85 will triple from 4.5 million in 2003 to 14.2 million by 2040. Automated 24/7 surveillance to ensure safety of the elderly while respecting privacy becomes a major challenge. As a first step, we present a fully distributed system and architecture based on a network of smart cameras to perform geo-referenced tracking and activity recognition. Additionally an intuitive visualization is presented, where all information is integrated in one world model that is available ubiquitously. At a real world installation in an assisted living home, we demonstrate first results regarding falling person detection as one major activity for assisted living systems.
DOI:10.1109/ICDSC.2007.4357526