K. Spatial segmentation of temporal texture using mixture linear models.pdfVIP

下载本文档

5
0
约2.05万字
约 6页
2017-04-13 发布于江苏
举报
版权申诉

K. Spatial segmentation of temporal texture using mixture linear models.pdf

1、有哪些信誉好的足球投注网站（book118）网站文档一经付费（服务费），不意味着购买了该文档的版权，仅供个人/单位学习、研究之用，不得用于商业用途，未经授权，严禁复制、发行、汇编、翻译或者网络传播等，侵权必究。。
2、本站所有内容均由合作方或网友上传，本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺！文档内容仅供研究参考，付费前请自行鉴别。如您付费，意味着您自己接受本站规则且自行承担风险，本站不退款、不进行额外附加服务；查看《如何避免下载的几个坑》。如果您已付费下载过本站文档，您可以点击这里二次下载。
3、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等，请点击“版权申诉”（推荐），也可以打举报电话：400-050-0827(电话支持时间：9:00-18:30)。
4、该文档为VIP文档，如果想要下载，成为VIP会员后，下载免费。
5、成为VIP后，下载本文档将扣除1次下载权益。下载后，不支持退款、换文档。如有疑问请联系我们。
6、成为VIP后，您将拥有八大权益，权益包括：VIP文档下载权益、阅读免打扰、文档格式转换、高级专利检索、专属身份标志、高级客服、多端互通、版权登记。
7、VIP文档为合作方或网友上传，每下载1次，网站将根据用户上传文档的质量评分、类型等，对文档贡献者给予高额补贴、流量扶持。如果你也想贡献VIP文档。上传文档

K. Spatial segmentation of temporal texture using mixture linear models

Spatial Segmentation of Temporal Texture Using Mixture Linear Models Lee Cooper Department of Electrical Engineering Ohio State University Columbus, OH 43210 cooperl@ece.osu.edu Jun Liu Biomedical Engineering Center Ohio State University Columbus, OH 43210, USA liu.314@osu.edu Kun Huang ? Department of Biomedical Informatics Ohio State University Medical Center Columbus, OH 43210, USA khuang@bmi.osu.edu Abstract In this paper we propose a novel approach for the spatial segmentation of video sequences containing mul- tiple temporal textures. This work is based on the notion that a single temporal texture can be represented by a low- dimensional linear model. For scenes containing multiple temporal textures, e.g. trees swaying adjacent a flowing river, we extend the single linear model to a mixture of linear models and segment the scene by identifying sub- spaces within the data using robust generalized principal component analysis (GPCA). Computation is reduced to minutes in Matlab by first identifying models from a sam- pling of the sequence and using the derived models to seg- ment the remaining data. The effectiveness of our method has been demonstrated in several examples including an application in biomedical image analysis. 1 Introduction Modeling motion is a fundamental issue in video analysis and is critical in video representa- tion/compression and motion segmentation problems. In this paper we address a special class of scenes, those that contain multiple instances of so-called temporal texture, described in [11] as texture with motion. Previous works on temporal texture usually focused on synthesis with the aim of generating an artificial video ? This work is partially supported by the startup funding from the Department of Biomedical Informatics, Ohio State University Medical Center. sequence of arbitrary length with perceptual likeness to the original. Prior schemes usually model the temporal texture using either a single stochastic process or dynami- ca