Abstract
This paper discusses the visual tracking of a partner robots
through interaction with people based on computational
intelligence. Steady-state genetic algorithms are applied for
detecting human face and objects in image processing, but the
computational cost is relatively high, because a genetic
algorithm is one of stochastic search. Therefore, in this paper,
we apply growing neural gas for the preprocessing of image
processing. The reference vectors are used in the update of
population of candidate solutions in human detection and
object detection. We conducted several experiments of the
partner robot on the interaction. The experimental results
show that the proposed method can improve the search
performance of people tracking and object tracking.
