the dynamic object hence it is feasible to estimate the positions of the dynamic object and determine the dynamic object spatial position and corrected dynamic object spatial position it is also feasible to build a universal positioning model the relation between the first kalman gain the second kalman gain the estimated vectors of the body and the measurement corrections is expressed by equation 8 below k k 1 k k 2 y k u2212 8 where expresses a space measurement correction and y k u2212 expresses a dynamic object measurement correction the position variation of the dynamic object at the preceding point in time is inferred by equations 7 8 considering the covariance of the dynamic object measurement correction and the estimated vectors of the dynamic object it is feasible to infer the third kalman gain of the dynamic object at the preceding point in time as shown in equation 9 below k k u2212 1 3 y k u2212 1 k u2212 2 c k t m k u2212 1 9 where expresses the third kalman gain c k expresses a transition matrix of the state vectors and m k expresses the covariance of measurement errors given the aforesaid computation the first kalman gain second kalman gain and third kalman gain are calculated and used to efficiently correct errors and enhance the accuracy in building a stereoscopic model.