dc.contributor.author | Anderson, Derek T., 1979- | eng |
dc.contributor.author | Keller, James M. | eng |
dc.contributor.author | Skubic, Marge | eng |
dc.contributor.author | Chen, Xi | eng |
dc.contributor.author | He, Zhihai, 1973- | eng |
dc.date.issued | 2006-08 | eng |
dc.description.abstract | A major problem among the elderly involves
falling. The recognition of falls from video first requires the segmentation of the individual from the background. To ensure privacy, segmentation should result in a silhouette that is a binary map indicating only the body position of the individual in an image. We have previously demonstrated a segmentation method based on color that can recognize the silhouette and detect and remove shadows. After the silhouettes are obtained, we extract features and train hidden Markov models to recognize future performances of these known activities. In this paper, we present preliminary results that demonstrate the usefulness of this approach for distinguishing between a few common activities, specifically with fall detection in mind. | eng |
dc.description.sponsorship | The authors were partially supported by NSF ITR grant IIS-0428420 and the U.S. Administration on Aging, under
grant 90AM3013. | eng |
dc.identifier.citation | Anderson D, Keller J, Skubic M, Chen X & He Z, "Recognizing Falls From Silhouettes," Proceedings, IEEE 28th Annual International Conference of the Engineering in Medicine and Biology Society, New York, NY, August 30-September 3, 2006, p 6388-6391. | eng |
dc.identifier.issn | 1-4244-0033-3/06/$20.00 | eng |
dc.identifier.uri | http://hdl.handle.net/10355/9705 | eng |
dc.language | English | eng |
dc.publisher | IEEE | eng |
dc.relation.ispartof | Electrical and Computer Engineering publications (MU) | eng |
dc.relation.ispartofcommunity | University of Missouri-Columbia. College of Engineering. Department of Electrical and Computer Engineering | eng |
dc.rights | OpenAccess. | eng |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. | eng |
dc.source.harvested | MU Center for Eldercare and Rehabilitation Technology Web site | eng |
dc.subject.lcsh | Older people -- Care | eng |
dc.subject.lcsh | Video surveillance | eng |
dc.subject.lcsh | Privacy | eng |
dc.title | Recognizing Falls from Silhouettes | eng |
dc.type | Article | eng |