Unsupervised dynamic texture segmentation using local spatiotemporal descriptors

Jie Chen*, Guoying Zhao, Matti Pietikäinen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2008 19th International Conference on Pattern Recognition, ICPR 2008
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781424421756
DOIs
Publication statusPublished - 2008
Externally publishedYes

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

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