Salient region weighted correlation filter for object tracking

doi:10.37188/OPE.20212902.0363

CIOMP OpenIR

	Salient region weighted correlation filter for object tracking
	Z. J.-A; C. T and C. J.-T
	2021
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
ISSN	1004924X
卷号	29 期号:2 页码:363-373
摘要	To improve the positioning accuracy of target positions in object tracking, an object tracking algorithm based on a salient region weighted correlation filter is proposed in this study. Using the tracking framework of efficient convolution operators (ECO) for tracking, we first apply SE-ResNet, which is a pre-trained improved residual network, to extract the multi-resolution features of different layers and fully utilize the different characteristics of the shallow and deep features to enhance feature expression. Next, a background object model is used to obtain a saliency map of the target. The saliency map is then applied to weight the response map of the correlation filter to improve positioning accuracy. Finally, compared with eight popular tracking algorithms employed at the Visual Object Tracking (VOT) challenge, the expected average overlap scores of VOT2016 and VOT2017 are determined to be 0.415 7 and 0.341 2, respectively, which are better than those of the other algorithms. Experimental results show that the proposed algorithm can effectively improve positioning accuracy and tracking performance. 2021, Science Press. All right reserved.
DOI	10.37188/OPE.20212902.0363
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收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/65609
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Z. J.-A,C. T and C. J.-T. Salient region weighted correlation filter for object tracking[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2021,29(2):363-373.
APA	Z. J.-A,&C. T and C. J.-T.(2021).Salient region weighted correlation filter for object tracking.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,29(2),363-373.
MLA	Z. J.-A,et al."Salient region weighted correlation filter for object tracking".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 29.2(2021):363-373.

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