Mechanisms for isolating component patterns in the sequential analysis of multiple motion

Pyramid techniques are commonly used to provide computational efficiency in the analysis of image motion. But these techniques can play an even more important role in the analysis of multiple motion, where, for example, a transparent pattern moves in front of a differently moving background pattern. The pyramid framework then separates motion components based on their spatial and temporal frequency characteristics so that each can be estimated independently of the others. This property is key to recently proposed selective stabilization algorithms for the sequential analysis of multiple motion and for the detection of moving objects from a moving platform. The authors determine the conditions for component selection. Results can provide important guidance in practical applications of motion analysis