Robust Estimation of Similarity Transformation for Visual Object Tracking

14 Dec 2017Yang LiJianke ZhuSteven C. H. HoiWenjie SongZhefeng WangHantang Liu

Most of existing correlation filter-based tracking approaches only estimate simple axis-aligned bounding boxes, and very few of them is capable of recovering the underlying similarity transformation. To tackle this challenging problem, in this paper, we propose a new correlation filter-based tracker with a novel robust estimation of similarity transformation on the large displacements... (read more)

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