Fall detection in the elderly by head tracking.pdf (341.58 kB)
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conference contribution
posted on 2009-12-01, 15:28 authored by Miao Yu, Syed M.R. Naqvi, Jonathon ChambersIn the paper, we propose a fall detection method based
on head tracking within a smart home environment equipped
with video cameras. A motion history image and code-book
background subtraction are combined to determine whether
large movement occurs within the scene. Based on the magnitude
of the movement information, particle filters with different
state models are used to track the head. The head
tracking procedure is performed in two video streams taken
by two separate cameras and three-dimensional head position
is calculated based on the tracking results. Finally, the threedimensional
horizontal and vertical velocities of the head are
used to detect the occurrence of a fall. The success of the
method is confirmed on real video sequences.
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