Abstract
The existing target detection and tracking methods, as an underlying design of service robot, are highly dependent on the computing ability, which will limit the transplantation to the robot platform. To solve the problem, this paper proposes a detection and tracking system suitable for mobile robot. For the target detection, an optimization method for feature extraction is proposed, by reducing the dimensionality of feature vectors to improve detection speed. For the target tracking, a multi-scale optimization method is proposed, which can accurately obtain all the characteristics of the upper body of the target. The last section is the experiment of the integrated system, which will resist the interference and robustly dynamically tracking the target.
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