Mason Archival Repository Service

Estimating Motion of Object Contours from Distance Transforms

Show simple item record

dc.contributor.advisor Durić, Zoran Soeder, Kyle
dc.creator Soeder, Kyle 2015-04-30 2015-08-19T12:38:33Z 2015-08-19T12:38:33Z 2015-08-19
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 Master of Science in Computer Science en_US Master's en Computer Science en George Mason University en

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


My Account