{"title":"Computing discontinuity-preserved image flow","authors":"S. Raghavan, N. Gupta, L. Kanal","doi":"10.1109/ICPR.1992.201672","DOIUrl":null,"url":null,"abstract":"Relative motion between a camera and the objects generates a time-varying optical array of changing intensities. Several algorithms have been proposed in the recent past to compute image motion from an image sequence. The primary difficulty with these approaches is that in the presence of multiple objects crossing each other in a scene, the accuracy of velocity estimates computed by these algorithms at locations near the boundaries of the objects is far from satisfactory. The authors present a robust technique to overcome this difficulty which preserves discontinuities in image motion across boundaries in a graceful manner. One of the major advantages of this algorithm is its ability to precisely detect points of discontinuity in image velocity.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201672","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
Relative motion between a camera and the objects generates a time-varying optical array of changing intensities. Several algorithms have been proposed in the recent past to compute image motion from an image sequence. The primary difficulty with these approaches is that in the presence of multiple objects crossing each other in a scene, the accuracy of velocity estimates computed by these algorithms at locations near the boundaries of the objects is far from satisfactory. The authors present a robust technique to overcome this difficulty which preserves discontinuities in image motion across boundaries in a graceful manner. One of the major advantages of this algorithm is its ability to precisely detect points of discontinuity in image velocity.<>