Math @ Duke

Publications [#264986] of Guillermo Sapiro
Papers Published
 Bartesaghi, A; Sapiro, G, Tracking of moving objects under severe and total occlusions,
Proceedings International Conference on Image Processing, Icip, vol. 1
(December, 2005),
pp. 301304, IEEE, ISSN 15224880 [doi]
(last updated on 2019/06/17)
Abstract: We present an algorithm for tracking moving objects using intrinsic minimal surfaces which handles particularly well the presence of severe and total occlusions even in the presence of weak object boundaries. We adopt an edge based approach and find the segmentation as a minimal surface in 3D spacetime, the metric being dictated by the image gradient. Object boundaries are represented implicitly as the level set of a higher dimensional function, and no particular object model is assumed. We also avoid explicit estimation of a dynamic model since the problem is regarded as one of static energy minimization. A set of interior points provided by the user is used to constrain the optimization, which basically corresponds to selecting the object of interest within the video sequence. The constraints are such that they restrict the resulting surface to be starshaped in the 3D spatiotemporal space. We present some challenging examples that show the robustness of the technique. © 2005 IEEE.


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