Unsupervised Video Object Segmentation

Unsupervised Video Object Segmentation is the task of automatically extracting object candidate regions from video sequences without user intervention. This method aims to generate a set of non-overlapping pixel objects that cover the entire video sequence and include at least those objects that can attract human attention, i.e., objects more likely to be tracked by human gaze. This technique has significant application value in the field of computer vision and can be widely used in scenarios such as video analysis, object tracking, and content understanding.