Parametric model-based motion segmentation using surface selection criterion
Computer Vision and Image Understanding
A comparative study of model selection criteria for computer vision applications
Image and Vision Computing
Parametric model-based motion segmentation using surface selection criterion
Computer Vision and Image Understanding
Characterizing spatio-temporal patterns for disease discrimination in cardiac echo videos
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
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A new model selection criterion based on physical characteristics of underlying motion models is proposed. The proposed criterion is then incorporated in a robust motion segmentation scheme, which is based upon robust least K-th order statistical model fitting. The proposed model criterion has been compared with many other competing techniques and it's shown to be more suitable for the motion segmentation task. The motion segmentation algorithm has been tested (and shown to be successful) on a number of synthetic and real image sequences.