A Bi-Directional Integrated Model for Non-Rigid Motion Analysis

To be able to understand the motion of deformable objects, techniques in image processing and computer vision are essential for non-rigid motion analysis in this active research area. We have developed an integrated model that combines the advantages of the boundary-basedand region-based approaches and avoids problems caused by each stand-alone approach, e.g. overshrinking, oversegmenting, noise sensitivity. This image segmentation model further iteratively improves each submodel in both directions until it satisfies predefined criteria. Different frame-to-frame prediction methods, naive, inflation, and optic flow, are developed and evaluated. Comparison between our model and other models is studied and illustrated by examples