Since conventional correlation-based visual tracking algorithms are based on a single reference block, they often fail to track a target in the following situations: 1) a view of the target image changes, and 2) a part of the target image is occluded. This paper proposes a correlation-based visual tracking method which copes with these problems based on affine motion description.
Based on the estimated parameters of affine transformation, the method detects the change in the view of the target image and updates the reference block. It also finds when and where the occlusion occurs, and keeps the reference block.
Y. Adachi, M. Asada, and T. Nakamura :
Correlation-based visual tracking enhanced by affine motion description ,
Proceedings of IAPR Workshop on Machine Vision Applications '96, pp. 75-78, 1996.