TITLE:
A Target Tracking Algorithm Based on Improved Camshift and UKF
AUTHORS:
Zouguo Yan, Weiguo Liang, Haidong lv
KEYWORDS:
Camshift, UKF, Tracking Algorithm, Sheltered Problem, Interference of the Background Color
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.7 No.13,
December
18,
2014
ABSTRACT: A tracking algorithm based on improved
Camshift and UKF is proposed in this paper to deal with the problems which
exist in traditional Camshift algorithm, such as artificial orientation and
tracking failure under color interference as well as object’s changed
illumination occlusion. Meanwhile, in order to solve the sheltered problem, the
UKF is combined with improved Camshift algorithm to predict the position of the
target effectively. Experiment results show that the proposed algorithm can
avoid the interference of the background color and solve the sheltered problem
of the object, so that achieving a precise and timely tracking of moving
objects. Also it has better robustness to color noises and occlusion when the
object’s scale changes and deformation occurs.