  The traditional color-based mean-shift tracking algorithm is popular among
tracking methods due to its simple and efficient procedure, however, the lack
of dynamism in its target model makes it unsuitable for tracking objects which
have changes in their sizes and shapes. In this paper, we propose a fast novel
threephase colored object tracker algorithm based on mean shift idea while
utilizing adaptive model. The proposed method can improve the mentioned
weaknesses of the original mean-shift algorithm. The experimental results show
that the new method is feasible, robust and has acceptable speed in comparison
with other algorithms.15 page,
