Adaptive correlation-based tracking algorithm

摘要

Abstract: The tracking algorithm introduced in this paper was designed with the intent of operation on a pipeline processor. This is different from other algorithms that rely on the branching capabilities which can easily be accomplished by a conventional processor but not pipeline processors. The localization of an object from one frame and the following frame is done using correlation which a pipeline processor handles very well. Finally, little prior knowledge of the object being tracked is required. The heart of this algorithm is the correlation mask. The mask used is a balance between the popular normalized cross correlation filter and the MACE filter. The masks are created from the actual image. Since the object is not a static object, the masks are updated while the object is being tracked. This paper discusses the implementation of this algorithm and its testing. !28