Nighttime in-home action monitoring for eldercare

In this work, we develop a system to automatically monitoring actions of elderly people at home for safety enhancement and health monitoring. We use an Infrared camera embedded in a living environment to capture images. We study the characteristics of different clothing in Infrared images and develo...

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Hauptverfasser: Zhongna Zhou, Stone, E. E., Skubic, M., Keller, J., Zhihai He
Format: Tagungsbericht
Sprache:eng
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Beschreibung
Zusammenfassung:In this work, we develop a system to automatically monitoring actions of elderly people at home for safety enhancement and health monitoring. We use an Infrared camera embedded in a living environment to capture images. We study the characteristics of different clothing in Infrared images and develop an efficient silhouette extraction method for Infrared (IR) images using spatio-temporal filtering. We recognize human action using supervised learning methods. Our experimental results demonstrate that our proposed method is efficient.
ISSN:1094-687X
1557-170X
1558-4615
DOI:10.1109/IEMBS.2011.6091311