A Method for Modeling and Segmentation of Spatio-Temporal Shapes

• This paper presents a method for modeling and segmenting spatio-temporal shapes. The modeling part is based on obtaining a description of the statistical variations of spatio-temporal shape parameters by studying a representative training set of examples. A deformable modelof spatio-temporal shapes is used for segmenting similarshapes in new image sequences. The deformations of the model are driven by image features and are forced toproduce results that are similar to what was found in thetraining set. The proposed deformations of the spatio-temporal shape are chosen to minimize a cost function usinga dynamic programming approach. The preliminary resultspresented show that the method succeeds in segmentingcomplex spatio-temporal shapes in synthetic noisy data.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Publikations- och innehållstyp

kon (ämneskategori)

ref (ämneskategori)