Technology of Graphic & Image
|
2210-2213

Adaptive feature fusion correlation filter tracking algorithm combined with learning rate adjustment

Cheng Yue
Li Jianzeng
Dept. of UAV Engineering, Army Engineering University, Shijiazhuang 050003, China

Abstract

In view of the defects of single feature and the problem of easy to miss when the target is fast changing, this paper proposed an adaptive feature fusion correlation filter tracking algorithm based on learning rate adjustment. The algorithm used complementary gradient features and color features to fuse the feature, and decided the weights of the features in the fusion feature in next frame by calculating the size of the filter response of each feature, so as to highlight the dominant features and make the target and background more discriminative. After extracting the target, it needed to update the filter. In order to avoid the situation that filter couldn't keep up with the change of the target, this paper introduced the learning rate adjustment mechanism, so that the update speed of the filter could be adjusted online with the appearance of the target. Therefore, compared with the similar feature fusion algorithm, the proposed algorithm is more accurate and efficient, and the robustness of the fast deformation target is stronger. The experiment shows that this algorithm is better than the existing correlation filter algorithms in accuracy and success rate, and has a certain application price.

Foundation Support

国家自然科学基金资助项目(51307183)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0121
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Technology of Graphic & Image
Pages: 2210-2213
Serial Number: 1001-3695(2019)07-061-2210-04

Publish History

[2019-07-05] Printed Article

Cite This Article

成悦, 李建增. 结合学习率调整的自适应特征融合相关滤波跟踪算法 [J]. 计算机应用研究, 2019, 36 (7): 2210-2213. (Cheng Yue, Li Jianzeng. Adaptive feature fusion correlation filter tracking algorithm combined with learning rate adjustment [J]. Application Research of Computers, 2019, 36 (7): 2210-2213. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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