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Deformable target tracking method based on Lie algebra

机译:基于李代数的可变形目标跟踪方法

摘要

Conventional approaches to object tracking use area correlation, but they are difficult to solve the problem of deformation of object region during tracking. A novel target tracking method based on Lie algebra is presented. We use Gabor feature as target token, model deformation using affine Lie group, and optimize parameters directly on manifold, which can be solved by exponential mapping between Lie Group and its Lie algebra. We analyze the essence of our method and test the algorithm using real image sequences. The experimental results demonstrate that Lie algebra method outperforms other traditional algorithms in efficiency, stabilization and accuracy.
机译:传统的对象跟踪方法使用面积相关性,但是很难解决跟踪过程中对象区域变形的问题。提出了一种基于李代数的目标跟踪方法。我们使用Gabor特征作为目标标记,使用仿射李群建模变形,并直接在流形上优化参数,这可以通过李群与其李代数之间的指数映射来解决。我们分析了我们方法的本质,并使用真实图像序列对算法进行了测试。实验结果表明,李代数方法在效率,稳定性和准确性方面均优于其他传统算法。

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