Analysis of an infrared interference antagonizing window tracking algorithm
Hou Yu, Huimin Ma · 2012
Interference is an important issue in visual tracking. While most tracking algorithms are able to track well in simple condition, they usually fail when the objects have serious occlusion interference. This paper provides a surface type interference which has an excellent effect to disturb three common window tracking algorithms, includes fasten window algorithm, group windows tracking algorithm and adaptive window algorithm. This paper also proposes a series of experiment to find out the proper parameter of the surface type interference, and the results show this kind interference is a strong one against the window tracking algorithm.