This paper presents a new approach to the tracking of regions in an image sequence. Unlike most other methods, the proposed approach can handle topology changes, i.e., regions may split or merge. This flexibility is naturally embedded into a partial differential equation that solves a minimum description length (MDL) estimation problem. The basic estimation criterion consists of only two terms: the description length of the region shape mismatch and the description length of the region itself, but we show possible extensions to this basic formulation. We minimize the MDL criterion using the level set methodology that inherently accounts for topology changes. We show results for natural data with natural as well as synthetic motion.
[1]
Janusz Konrad,et al.
Minimum description length region tracking with level sets
,
2000,
Electronic Imaging.
[2]
Janusz Konrad,et al.
Motion segmentation with level sets
,
1999,
Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).
[3]
Berthold K. P. Horn,et al.
Determining Optical Flow
,
1981,
Other Conferences.
[4]
Guillermo Sapiro,et al.
Morphing active contours: a geometric approach to topology-independent image segmentation and tracking
,
1998,
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).