Using non-linear diffusion and motion information for video segmentation

In this paper, we propose a technique for video segmentation using non-linear diffusion, incorporating the watershed transform, colour similarity merging and motion estimation. The current frame t to be segmented is spatially partitioned into homogenous regions based on the watershed transform with colour similarity merging in the CIELUV colour space. A future frame t+x, is then used as reference to establish non-stationary regions within the current frame. These regions are classified as foreground objects, or as regions of interest.