Automatic Extraction Tracking and Control of Robotic Based on Mean-shift

With the development of the robot field, mobile robot tracking has been applied to various fields, and it has become a hot topic of many scholars. In recent years, a large number of mobile robot tracking methods have been proposed. In this paper, for the traditional Mean-shift tracking method, the problem of the target object cannot be automatically obtained. A tracking method that automatically extracts targets and applies them to mobile robot tracking and controlling is proposed. In this work, The SAD method is first introduced and fused based on the traditional Mean-shift tracking method. Then, the motor that needs to complete the tracking and conducted experiments is modeled and closed-loop controlled in this paper. The results show that the mobile robot tracking control system that is proposed in this paper can complete the automatic recognition tracking and control of the target object.