Human Fall Detection by Mean Shift Combined with Depth Connected Components

Abstract

Depth is very useful cue to achieve reliable fall detection since humans may not have consistent color and texture but must occupy an integrated region in space. In this work we demonstrate how depth images are extracted by low-cost Kinect device. The person undergoing monitoring is extracted through mean-shift clustering. The fall alarm is triggered on the… (More)
DOI: 10.1007/978-3-642-33564-8_55
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@inproceedings{Kepski2012HumanFD, title={Human Fall Detection by Mean Shift Combined with Depth Connected Components}, author={Michal Kepski and Bogdan Kwolek}, booktitle={ICCVG}, year={2012} }