分布场的多特征融合目标跟踪方法

doi:10.3969/j.issn.1001-2400.2015.04.001

Abstract

Abstract:

In order to improve the robustness of the distribution fields (DF) as an object model in object tracking, we propose a mutli-feature fusion framework for the distribution fields. In the original DF-based method, the density histogram was used to estimate the DF of a pixel, but the structural information was ignored. For effective representation of the structural information in the DFs, a special type of coding for the featured points which contain structural information is merged into the DFs. Experiments show that the new method outperforms the original method and four other state-of-the-art tracking algorithms for some challenging video clips.

Key words: object tracking, multi-feature fusion, distribution fields, edge detection, feature points, object model

SONG Changhe;LI Yunsong;NING Jifeng;MOU Yongqiang. Study of multi-feature fusion methods for distribution fields in object tracking[J].J4, 2015, 42(4): 1-7.

References

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Study of multi-feature fusion methods for distribution fields in object tracking

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