Motion Parameter Estimation Using Correspondence Approach

Understanding object motion and estimating the object motion parameters is a difficult and computationally complex task. In general, approaches based on optic flow and correspondence have been utilized to address this problem. In this paper we present an approach based on correspondence. We use perturbation analysis and optimal control results to estimate time varying parameters. In our approach we simultaneously estimate motion corresponding to the six degrees of freedom, and our approach can readily handle long image sequences. We present results of sensitivity of the solution with respect to noise, initial estimates and sequence length.