Fundamental Study of Tracking the Entire Tree from a Video Sequence Based on Tracking a Small Number of Feature Points

Abstract

In this paper, the authors proposed a method to estimate the motion of any point on the surface of the tree from the video sequence by using few feature points. More specifically, the center lines is obtained by trunk extraction from the video sequence, and the intersection candidates among the branches are detected. By matching the intersection candidates between consecutive frames, the intersections are screened from the detected candidates. The branch between each two consecutive intersections is seemed as one segment and any point on the tree surface is clustered into the nearest segment. Based on the motion information of the segments, the motion of the points could be estimated. The experiments prove that the proposed method has the good performance for CG animation of tree.