A robust hierarchical probabilistic framework for visual target tracking
Michael Pyeron, Amir Waks, George K. Gregoriou, Oleh John Tretiak, Itzhak Barkana · 1991
A robust and efficient technique for detection of region boundaries in a sequence of images is the foundation for a hierarchical framework for visual target tracking. This robust technique is a multi-hypothesis test that searches for a boundary that maximizes a certain performance criterion. The framework also consists of a technique to restore noisy images when the parameters are not known and also filtering to predict positions and orientations of successive images.>