| Paper: | IMDSP-L1.3 | ||
| Session: | Image and Video Analysis | ||
| Time: | Wednesday, May 19, 13:40 - 14:00 | ||
| Presentation: | Lecture | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Analysis | ||
| Title: | JOINT SPACE-TIME IMAGE SEQUENCE SEGMENTATION: OBJECT TUNNELS AND OCCLUSION VOLUMES | ||
| Authors: | Mirko Ristivojević; Boston University | ||
| Janusz Konrad; Boston University | |||
| Abstract: | Spatial segmentation of image sequences is usually performed based on motion between two frames. Some recent approaches extend this to joint segmentation in space-time; the resulting 3-D segmentation (in x-y-t space) can be interpreted as a volume ``carved out'' by a moving object in the image sequence domain, or the so-called ``object tunnel''. In this paper, we extend this concept to explicit modeling of occlusion events in the x-y-t space. In addition to the modeling of object evolution, we also model occluded and newly-exposed areas in the background and in the object by means of ``occlusion volume'', a new space-time concept. We propose a variational formulation of the problem that we solve using the multiphase level set method. We show experimental results for synthetic and natural image sequences. | ||
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