Joint Tracking of Cell Morphology and Motion
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
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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.