Mathematical Model for Predicting the Appropriate Angle in Target Tracking System

Abstract

The accuracy of object detection, response time, and obstacles are considered the main problems in object detection and tracking system. The latter system plays the main role in various applications, such as human-computer interface, vision-based control, security, animation, and robot vision. The present work aims to calibrate for the MG995 servo motor model to present a mathematical model for predicting the appropriate angle in the target tracking system. The results showed high accuracy in measuring the specified angle with a value equal to zero for average and standard deviation errors. In contrast, reverse relationships resulted in image scale–distance and horizontal orientation angle relationships, respectively.