{"title":"Temporal phase congruency","authors":"P. J. Myerscough, M. Nixon","doi":"10.1109/IAI.2004.1300948","DOIUrl":null,"url":null,"abstract":"We describe a robust moving feature detector that extracts feature points and feature velocities from a sequence of images. We develop a new approach based on phase congruency to include interpolation of feature orientation and improvements in robustness due to correlations in the image sequence. This new temporal phase congruency operator shows improved capabilities on a series of different real image types, as well as a noise analysis on synthetic images.","PeriodicalId":326040,"journal":{"name":"6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI.2004.1300948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
We describe a robust moving feature detector that extracts feature points and feature velocities from a sequence of images. We develop a new approach based on phase congruency to include interpolation of feature orientation and improvements in robustness due to correlations in the image sequence. This new temporal phase congruency operator shows improved capabilities on a series of different real image types, as well as a noise analysis on synthetic images.
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