Direct identification of moving objects and background from 2D motion models
Gabriella Csurka, Patrick Bouthémy · 1999
This paper presents the dynamic scene analysis part of an original and consistent framework to video partitioning into shots, camera motion estimation and multiple motion analysis with a view to content-based video indexing. All the information parts required to achieve these different goals result from handling the apparent motion within consecutive image pairs. Within each extracted shot, a binary segmentation of the image is performed into regions whose motion either conforms or not to the 2D estimated dominant motion represented by a quadratic motion model. This paper focuses on a low-cost method based on projective geometry criteria to distinguish non-conforming regions generated by really moving objects from static ones in the scene. The proposed algorithm is validated on a variety of real image sequences.