Abstract
Falling is an important health issue, but how can we detect falls automatically? One possibility would be a camera-based system. In this paper, we present a grayscale video processing algorithm to detect falls in video data. Grayscale video data is chosen because it has several advantages which will be presented in this paper.We start with background subtraction after which we continue to shadow removal, ellipse fitting and fall detection based on fall angle and aspect ratio. When a fall is detected, we continue to fall confirmation using vertical projection histograms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Willems, J., Debard, G., Vanrumste, B., Goedemé, T. (2009). A Video-based Algorithm for Elderly Fall Detection. In: Dössel, O., Schlegel, W.C. (eds) World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany. IFMBE Proceedings, vol 25/5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03904-1_87
Download citation
DOI: https://doi.org/10.1007/978-3-642-03904-1_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03903-4
Online ISBN: 978-3-642-03904-1
eBook Packages: EngineeringEngineering (R0)