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Despite many alternatives to point tracking problem, iterative least squares solution solving the optical flow constraint has been the most popular approach used by many in the field. This paper attempts to leverage the former efforts to enhance such tracking methods by introducing geometric constraint to the tracking problem. In contrast to alternative geometry based methods, the proposed approach provides an online solution to optical flow estimation by exploiting Horn and Schunck flowdoi:10.1109/iccvw.2011.6130224 dblp:conf/iccvw/JiangY11 fatcat:v7c6t7cmxfbp3dh5gqlqghklpi