Aiming at the fast and precise recognition of target, mobile robot’s monocular front vision is modeled. Firstly,
image model of monocular front vision is proposed, including design flows of hardware and software, through which the target’s position on image can be obtained. Then, target location by monocular front vision, through vision calibration model, is performed to get the target’s position within the robot coordinate. Finally, parameter estimation method is applied to calculate the parameters of error distribution model of the real and ideal detection results, by which the observation model of monocular front vision can be achieved. Experiment results show that target recognition under this model design has better real-time property and higher accuracy.