Abstract

Spatio-temporal segmentation of video sequences attempts to extract backgrounds and independent objects in the dynamic scenes captured in the sequences. It is an essential step of video analysis. It has important applications in video coding, video logging, indexing and retrieval, and more generally in scene interpretation and video understanding. We classify spatio-temporal grouping techniques into three categories: (1) segmentation with spatial priority, (2) segmentation by trajectory grouping, and (3) joint spatial and temporal segmentation. The first category is the broadest, as it inherits the legacy techniques of image segmentation and motion segmentation. The other two categories place a higher priority on the accumulation of evidence along the temporal dimension and are more recent developments made feasible by the increased availability of computing power. For each category we provide a taxonomy of the techniques used to produce meaningful pixel groupings.

Citations