Adaptive window object tracking based on variable resolution

This paper presents an adaptive window object tracking method based on variable resolution. It copes with size changing object during visual tracking. For the visual tracking algorithm based on maximum posterior probability, we analyze the posterior probability contribution on the inside and outside panes of the object window, and build a mathematical model for adjusting object size with an adaptive window. Since the resolution changes according to the size of the object, this thesis uses a statistical sampling method of the feature by variable resolution. The resolution of the statistical feature is correspondingly changed in object tracking with an adaptive window. The resolution of a larger object is decreased, which realizes an object tracking method with adaptive window based on variable resolution.