Interactive Video Growcut: A Semi-Automated Video Object Segmentation Framework Using Cellular Automata

This paper illustrates a simple, yet effective semi-automated object segmentation framework over video sequences. This is through an extension of the GrowCut framework, an image segmentation scheme based on cellular automata. We describe how GrowCut is extended to video sequences, as well as providing our own improvements and addressing problematic areas to the original formulation. This provides a good increase in accuracy and creates the main goal of this work. It will be shown that the original algorithm adapts quite nicely to video object segmentation, and can achieve very good results using both synthetic and real video footage, obtained from different sources.