Activity Segmentation of Infrared Images Using Fuzzy Clustering Techniques
Every year, many older adults are at risk for falling, especially in the dark. Infrared lighting provides a nonintrusive lighting in the dark and our research shows a technique of segmenting human activities using fuzzy clustering of image moments even in the dark. While our research is still in the preliminary stages, it shows promise of being able to detect several different activities and in the future might prevent several falls from taking place.
Keller, J. M.,
& Stone, E.
(2011). Activity Segmentation of Infrared Images Using Fuzzy Clustering Techniques. Proceedings of the 2011 World Conference on Soft Computing.