Show simple item record

dc.contributor.authorSun BY
dc.contributor.authorTillo T
dc.contributor.authorXu M
dc.contributor.editor
dc.date.accessioned2018-08-02T09:20:24Z
dc.date.available2018-08-02T09:20:24Z
dc.date.issued2015
dc.identifier.isbn978-3-319-24077-0
dc.identifier.issn0302-9743
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-319-24078-7_42
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-319-24078-7_42
dc.identifier.urihttp://hdl.handle.net/10863/5450
dc.description.abstractDepth map has attracted great attention for image and video processing in recent years. Depth map gives one more dimensional information about the images besides color (intensity). Depth is independent of color, which is the advantage for extracting the background covered by objects with irregular repetitive motions e.g. rotation. A new algorithm for background extraction using Gaussian Mixture Models (GMM) combined with depth map is presented. The per-pixel mixture model and single Gaussian model are used to model the recent observation in color and depth space respectively. We also incorporate the color-depth consistency check mechanism into the algorithm to improve the accuracy. Our results show much greater robustness than prior state of the art method to handle challenging scenes.en_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofseriesLecture Notes in Computer Science;
dc.rights
dc.subjectGaussian mixture modelen_US
dc.subjectdepth mapen_US
dc.subjectBackground extractionen_US
dc.titleAdaptive Model for Background Extraction Using Depth Mapen_US
dc.typeBook chapteren_US
dc.date.updated2018-05-30T11:38:03Z
dc.publication.titleAdvances in Multimedia Information Processing - PCM 2015: 16th Pacific-Rim Conference on Multimedia, Gwangju, South Korea, September 16-18, 2015, Proceedings
dc.language.isiEN-GB
dc.description.fulltextreserveden_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record