Salient region weighted correlation filter for object tracking

doi:10.37188/OPE.20212902.0363

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	Salient region weighted correlation filter for object tracking
	Z. J.-A; C. T and C. J.-T
刊名	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
	2021
卷号	29 期号:2 页码:363-373
ISSN号	1004924X
DOI	10.37188/OPE.20212902.0363
英文摘要	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.
URL标识	查看原文
内容类型	期刊论文
源URL	[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.