资 源 简 介
we propose a generative tracking method based on a novel robust linear regression algorithm. In con-
trast to existing methods, the proposed Least Soft-thresold Squares (LSS) algorithm models the error term with the
Gaussian-Laplacian distribution, which can be solved ef- ficiently. Based on maximum joint likelihood of parameters,
we derive a LSS distance to measure the difference between an observation sample and the dictionary. Compared with
the distance derived from ordinary least squares methods, the proposed metric is more effective
