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Video Segmentation of Moving Humans for Assistive Environments.
- Source :
- Studies in Health Technology & Informatics; 2013, Vol. 190, p179-182, 4p, 1 Black and White Photograph, 1 Diagram
- Publication Year :
- 2013
-
Abstract
- In this paper, we present two recently proposed efficient methods for human segmentation from video in indoor environments: the illumination sensitive background method and the self-organizing background subtraction (SOBS) method. Both methods maintain multiple background models. The SOBS method has been modified in this work for gray-scale frames, in order to decrease processing times. The video data are acquired indoors from a fixed fish-eye camera in the living environment. The paper presents the algorithmic implementation and modifications details, while results are also presented for a small number of video sequences. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09269630
- Volume :
- 190
- Database :
- Complementary Index
- Journal :
- Studies in Health Technology & Informatics
- Publication Type :
- Academic Journal
- Accession number :
- 91736736
- Full Text :
- https://doi.org/10.3233/978-1-61499-276-9-179