Adaptive Tracking of Moving Objects of Sports Training Robot Based on Image Error

摘要

With the development of computer technology, electronic technology, sensor technology and artificial intelligence technology, people are no longer satisfied that robots can only be in a fixed environment, and begin to study intelligent robots with strong environmental adaptability and high sensitivity. Moving target detection and tracking is a process of tracking by analyzing the image error data from the environment without knowing the target motion information in advance, judging whether there is motion information in the visual field in real time and estimating the state of target motion. Through visual images, robot can not only obtain rich external information, but also obtain non-contact measurement of the environment. Therefore, robot vision plays a very important role in the perception ability of robot. Traditional adaptive methods often need to use the output error of the object and transmit it back, so it is necessary to identify the object. Taking sports training robot as an example, this paper studies the adaptive tracking method of robot moving target based on image error.