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 is 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.
Motion analysis: model selection and motion segmentation
01.01.2003
420375 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Motion Analysis: Model Selection and Motion Segmentation
British Library Conference Proceedings | 2003
|Motion Segmentation by Subspace Separation and Model Selection
British Library Conference Proceedings | 2001
|Parametric model-based motion segmentation using surface selection criterion
British Library Online Contents | 2006
|Kraftfahrwesen | 2009
|