Robust Local Optical Flow for Feature Tracking

This paper is motivated by the problem of local motion estimation via robust regression with linear models. In order to increase the robustness of the motion estimates, we propose a novel robust local optical flow approach based on a modified Hampel estimator. We show the deficiencies of the least squares estimator used by the standard Kanade-Lucas-Tomasi (KLT) tracker when the assumptions made by Lucas-Kanade are violated. We propose a strategy...