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Monocular 3D Head Tracking to Detect Falls of Elderly People

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4 Author(s)
Rougier, C. ; Dept. of Comput. Sci. & Oper. Res., Montreal Univ., Que. ; Meunier, J. ; St-Arnaud, A. ; Rousseau, J.

Faced with the growing population of seniors, Western societies need to think about new technologies to ensure the safety of elderly people at home. Computer vision provides a good solution for healthcare systems because it allows a specific analysis of people behavior. Moreover, a system based on video surveillance is particularly well adapted to detect falls. We present a new method to detect falls using a single camera. Our approach is based on the 3D trajectory of the head, which allows us to distinguish falls from normal activities using 3D velocities

Published in:

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Date of Conference:

Aug. 30 2006-Sept. 3 2006