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Estimating Motion of Object Contours from Distance Transforms

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dc.contributor.advisor Durić, Zoran
dc.contributor.author Soeder, Kyle
dc.creator Soeder, Kyle
dc.date 2015-04-30
dc.date.accessioned 2015-08-19T12:38:33Z
dc.date.available 2015-08-19T12:38:33Z
dc.date.issued 2015-08-19
dc.identifier.uri https://hdl.handle.net/1920/9753
dc.description.abstract This thesis develops a method for estimating motion for object contours in depth video sequences. First the depth image is thresholded to nd the foreground object. Con- tours are then extracted from the thresholded image. Given the contours in two frames my method estimates the motion that transforms the contour in frame 1 to the contour in frame 2. First the Euclidean Distance Tansform (DT) is computed for the contour in frame 2. The DT and its gradient at each of the points along the contour in frame 1 are used to estimate the motion between the contours in the frames. I consider the obtained motion an estimate of the normal ow between the frames. Finally the normal ow is used to estimate a ne motion between the contours. I demonstrate the method on several synthetic images corresponding to contours of various shapes. Finally I demonstrate the e ectiveness of my method on several image sequences including household objects, a person raising their leg and a long sequence of a human walking.
dc.language.iso en en_US
dc.subject computer vision en_US
dc.subject distance transform en_US
dc.subject gradients en_US
dc.subject contour motion en_US
dc.subject normal flow en_US
dc.title Estimating Motion of Object Contours from Distance Transforms en_US
dc.type Thesis en
thesis.degree.name Master of Science in Computer Science en_US
thesis.degree.level Master's en
thesis.degree.discipline Computer Science en
thesis.degree.grantor George Mason University en


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