Unsupervised dynamic texture segmentation using local spatiotemporal descriptors

Jie Chen*, Guoying Zhao, Matti Pietikäinen

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

Dynamic texture (DT) is an extension of texture to the temporal domain. In this paper, we address the problem of segmenting DT into disjoint regions in an unsupervised way. Each region is characterized by histograms of local binary patterns and contrast in a spatiotemporal mode. It combines the motion and appearance of DT together. Experimental results show that our method is effective in segmenting regions that differ in their dynamics.

源语言英语
主期刊名2008 19th International Conference on Pattern Recognition, ICPR 2008
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(印刷版)9781424421756
DOI
出版状态已出版 - 2008
已对外发布

出版系列

姓名Proceedings - International Conference on Pattern Recognition
ISSN(印刷版)1051-4651

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