融合边缘片断与水平集分割的目标跟踪算法

doi:10.3969/j.issn.1001-2400.2011.06.024

Abstract

Abstract:

To track non-rigid objects exactly, conventional methods typically suffer from two problems: 1) fast local shape deformation and 2) occlusion. This paper proposes a novel non-rigid object tracking algorithm based on boundary fragments matching and level set segmentation. Our approach embeds the discriminative object boundary feature learned by Adaboost into the levelset energy function. Both efficiency and adaptability of our algorithm are demonstrated by experimental results.

Key words: object tracking, level set setmentation, boundary fragments

CLC Number:

TP391.4

GAO Jing;BI Duyan;ZHAO Xiaolin. Non-rigid object tracking based on the boundary fragment feature and level set segmentation[J].J4, 2011, 38(6): 146-151.

References

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(2011, Vol.38, No.6, 146-151)

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Non-rigid object tracking based on the boundary fragment feature and level set segmentation

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