Handling Tradeoos between Precision and Robustness with Incremental Focus of Attention for Visual Tracking

The Incremental Focus of Attention (IFA) framework provides a structure in which diierent algorithms for visual motion tracking can be assembled into a single system which tracks an object with the best combination of precision, speed, and robustness. IFA puts diierent tracking algorithms in a hierarchy based on speed and precision and supplies a means for determining which algorithm should perform in diierent circumstances. Precision is traded for robustness and speed when ideal environmental conditions are not met, and conversely, when conditions are favorable, tracking proceeds at the greatest precision ooered by the component trackers. Implementations of IFA systems provide robust visual tracking which returns as much tracking information as possible given the constraints of the environment.