{"title":"Motion characterization of unrigid objects by detecting and tracking feature points","authors":"J. Fayolle, C. Ducottet, T. Fournel, J. Schon","doi":"10.1109/ICIP.1996.560859","DOIUrl":null,"url":null,"abstract":"A new algorithm to determine the motion of unnrigid objects like smoke clouds is presented. It consists of two parts. The first one is the localisation of edges and feature points along them. The wavelet transform is used for each of these localisations. The determination of feature points is done through the characterisation of a quantity related to Lipschitz exponents. The second part is the tracking of the set of feature points obtained over an image sequence. We introduce a method which uses the gradient phase as characteristic to be tracked. Experimental results are presented to demonstrate the efficiency of the algorithm.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 3rd IEEE International Conference on Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.1996.560859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
A new algorithm to determine the motion of unnrigid objects like smoke clouds is presented. It consists of two parts. The first one is the localisation of edges and feature points along them. The wavelet transform is used for each of these localisations. The determination of feature points is done through the characterisation of a quantity related to Lipschitz exponents. The second part is the tracking of the set of feature points obtained over an image sequence. We introduce a method which uses the gradient phase as characteristic to be tracked. Experimental results are presented to demonstrate the efficiency of the algorithm.
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