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Author Black, Michael J.
Source CiteSeerX
Content type Text
Publisher Springer-Verlag
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Structural Property ♦ Incremental Stochastic Minimization Technique ♦ Significant Image Resgions ♦ Motion Information ♦ Actual Surface Boundary ♦ Tracking Long Image Sequence ♦ Local Constraint ♦ Surface Marking ♦ Incremental Segmentation ♦ Dynamic Segmentation ♦ Perspicuous Description ♦ Visible World ♦ Optimal Segmentation
Description . This paper presents a method for incrementally segmenting images over time using both intensity and motion information. This is done by formulating a model of physically significant image resgions using local constraints on intensity and motion and then finding the optimal segmentation over time using an incremental stochastic minimization technique. The result is a robust and dynamic segmentation of the scene over a sequence of images. The approach has a number of benefits. First, discontinuities are extracted and tracked simultaneously. Second, a segmentation is always available and it improves over time. Finally, by combining motion and intensity, the structural properties of discontinuities can be recovered; that is, discontinuities can be classified as surface markings or actual surface boundaries. 1 Introduction Our goal is to efficiently and dynamically build useful and perspicuous descriptions of the visible world over a sequence of images. In the case of a moving...
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1992-01-01