We developed a method for visual tracking of objects using a novel coupled-layer visual model that combines the target’s local and global appearance. Local layer is a set of local patches that geometrically constrain the changes in the target’s appearance, while global layer probabilistically models target’s global visual properties such as color, shape and apparent local motion. Local patches are constrained by global visual properties, while those are updated from stable local patches during tracking, making this coupled constraint paradigm more robust through significant appearance changes.
COBISS.SI-ID: 8801364