TY - GEN
T1 - A closed-form solution for image sequence segmentation with dynamical shape priors
AU - Schmidt, Frank R.
AU - Cremers, Daniel
PY - 2009
Y1 - 2009
N2 - In this paper, we address the problem of image sequence segmentation with dynamical shape priors. While existing formulations are typically based on hard decisions, we propose a formalism which allows to reconsider all segmentations of past images. Firstly, we prove that the marginalization over all (exponentially many) reinterpretations of past measurements can be carried out in closed form. Secondly, we prove that computing the optimal segmentation at time t given all images up to t and a dynamical shape prior amounts to the optimization of a convex energy and can therefore optimized globally. Experimental results confirm that for large amounts of noise, the proposed reconsideration of past measurements improves the performance of the tracking method.
AB - In this paper, we address the problem of image sequence segmentation with dynamical shape priors. While existing formulations are typically based on hard decisions, we propose a formalism which allows to reconsider all segmentations of past images. Firstly, we prove that the marginalization over all (exponentially many) reinterpretations of past measurements can be carried out in closed form. Secondly, we prove that computing the optimal segmentation at time t given all images up to t and a dynamical shape prior amounts to the optimization of a convex energy and can therefore optimized globally. Experimental results confirm that for large amounts of noise, the proposed reconsideration of past measurements improves the performance of the tracking method.
UR - https://www.scopus.com/pages/publications/70350433511
U2 - 10.1007/978-3-642-03798-6_4
DO - 10.1007/978-3-642-03798-6_4
M3 - Conference contribution
AN - SCOPUS:70350433511
SN - 3642037976
SN - 9783642037979
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 31
EP - 40
BT - Pattern Recognition - 31st DAGM Symposium, Proceedings
T2 - 31st Annual Symposium of the Deutsche Arbeitsgemeinschaft fur Mustererkennung, DAGM 2009
Y2 - 9 September 2009 through 11 September 2009
ER -