Title :
Multi-frame simultaneous motion estimation and segmentation
Author :
Feghali, Rosario
Author_Institution :
Communications Res. Centre, Montreal, Que., Canada
Abstract :
This study proposes a new approach to jointly perform motion estimation and segmentation in the spatiotemporal domain. An energy functional that embeds the constraints of both the motion estimation and segmentation problems is minimized through the Euler-Lagrange equations yielding a set of descent equations executed via spatiotemporal level-sets representation. The resulting motion field is smooth yet boundary preserving and the motion segmentation map reflects the motion field enhancement.
Keywords :
image enhancement; image motion analysis; image representation; image segmentation; image sequences; motion field enhancement; motion segmentation; multiframe simultaneous motion estimation; spatiotemporal level-sets representation; Computer vision; Equations; Image converters; Image segmentation; Image sequences; Motion estimation; Motion segmentation; Robustness; Spatiotemporal phenomena; Yield estimation;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2005.1405727