Occlusion detection using motion-position analysis

Occlusion is a complex problem which can cause the loss of the target in the tracking process. One of the solutions for the occlusion problem is to detect the occlusion before it occurs or partially occurs and to track the moving objects using an additional camera separated by a known distance and known camera parameters, which can give a better view. Thus, the loss of a target can be prevented. This paper uses algorithms to perform target tracking under occlusion using motion-position analysis by calculating the shortest distances between the targets using a safe distance factor.