Semantic video object segmentation using morphology watershed algorithm

In this paper, a novel semantic video object extraction method that combines spatial and temporal segmentation via the morphology watershed algorithm. We segment image into primitive regions by applying watershed algorithm. Then, we adopt temporal segmentation for tracking semantic objects. Experiments are carried out to demonstrate the superior performance of the proposed method.