Spatio-Temporal Approaches for Handling Occlusions Based on Object Tracking

Abstract

This paper proposes two different approaches to tracks two occlusion targets. Occlusion means hiding an object by another object. In this paper, two approaches are devised to handle the occlusion detection. In a video, during the tracking process, the states of the object are gradually adjusted one by one to eliminate the occlusion effects. The edges are detected and identified whether the occlusion is partial or full. Spatial approach is used to handle partial occlusion and temporal approach is used to handle full occlusion detection. The spatial approach uses edge-based restoration scheme that 1) identifies areas that are likely to contain wrong motion vectors, 2) finds artifacts within these areas, and 3) restores these artifacts. The temporal approach is planned to fill the missing parts from the past history of a person if available.