Visual tracking of partially observable targets with suboptimal filtering

A comparative study of four suboptimal tracking algorithms that can cope with missing measurements of low-level visual  features during partial occlusion is presented. An approach to identify missing measurements in two-dimensional object tracking is formulated. The comparison starts from a