It has always been an essential problem for robotic vision guidance to achieve robot motion trajectory tracking control based on visual perception. In this chapter, robot control strategies using position-based and image-based servo scheme are analyzed, thereby providing the control framework for each vision guidance scheme. The moving target tracking filtering algorithms for position-based servo control process are introduced by demonstrating several common target motion models and their corresponding continuous-state and discrete-state equations. Moreover, the Kalman filtering algorithm and interactive multiple model algorithm are investigated in principle, with which the robot visual servo and target state estimation performance is verified through simulation and experiment.