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
ISSN1004924X
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.
DOI10.37188/OPE.20212902.0363
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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
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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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