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Siamese Cascaded Region Proposal Networks With Channel-Interconnection-Spatial Attention for Visual Tracking | |
Alternative Title | WOS:000566107900001;20203809200250 |
Cui, Zhoujuan1; An, Junshe; Ye, Qing2; Cui, Tianshu1 | |
Source Publication | IEEE ACCESS
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2020 | |
Volume | 8Pages:154800-154815 |
DOI | 10.1109/ACCESS.2020.3017179 |
ISSN | 2169-3536 |
Language | 英语 |
Keyword | Visualization Feature extraction Proposals Adaptation models Correlation Training Deconvolution Visual tracking Siamese networks channel attention interconnection attention spatial attention cascaded region proposal networks OBJECT TRACKING |
Abstract | Trackers based on Siamese networks show great potential in tracking accuracy and speed. However, it is still challenging to adapt offline training model to online tracking. In this paper, a Siamese based tracker (SCRPN-CISA) is proposed, which integrates three attention mechanisms and a novel Cascaded Region Proposal Networks (RPN) architecture, for improving the feature extraction ability, adaptability and discrimination ability in complex scenes. Firstly, the deep network VGG-Net-D is adopted as the backbone network in the Siamese framework to increase the feature extraction capability. Then, a Channel-Interconnection-Spatial Attention module is constructed to enhance the adaptive and discriminative capability of the model. Next, a Deconvolution Adjust Block is built to fusion cross-layer features. Finally, a Three-Layer Cascaded RPN is conceived to acquire the foreground-background classification and bounding box regression by correlation calculation, and moreover, a proposal region screening strategy is presented to obtain more accurate tracking results. Experiments on OTB-2015, UAV123, VOT2016, and VOT2019 benchmarks demonstrate that, the proposed tracker (SCRPN-CISA) achieves competitive performance compared with the state-of-the-art trackers. |
Indexed By | SCI ; EI |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.nssc.ac.cn/handle/122/7713 |
Collection | 中国科学院国家空间科学中心 |
Affiliation | 1.Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Henan Univ, Int Educ Coll, Kaifeng 475001, Peoples R China |
Recommended Citation GB/T 7714 | Cui, Zhoujuan,An, Junshe,Ye, Qing,et al. Siamese Cascaded Region Proposal Networks With Channel-Interconnection-Spatial Attention for Visual Tracking[J]. IEEE ACCESS,2020,8:154800-154815. |
APA | Cui, Zhoujuan,An, Junshe,Ye, Qing,&Cui, Tianshu.(2020).Siamese Cascaded Region Proposal Networks With Channel-Interconnection-Spatial Attention for Visual Tracking.IEEE ACCESS,8,154800-154815. |
MLA | Cui, Zhoujuan,et al."Siamese Cascaded Region Proposal Networks With Channel-Interconnection-Spatial Attention for Visual Tracking".IEEE ACCESS 8(2020):154800-154815. |
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