NSSC OpenIR
Siamese Cascaded Region Proposal Networks With Channel-Interconnection-Spatial Attention for Visual Tracking
Alternative TitleWOS:000566107900001;20203809200250
Cui, Zhoujuan1; An, Junshe; Ye, Qing2; Cui, Tianshu1
Source PublicationIEEE ACCESS
2020
Volume8Pages:154800-154815
DOI10.1109/ACCESS.2020.3017179
ISSN2169-3536
Language英语
KeywordVisualization Feature extraction Proposals Adaptation models Correlation Training Deconvolution Visual tracking Siamese networks channel attention interconnection attention spatial attention cascaded region proposal networks OBJECT TRACKING
AbstractTrackers 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 BySCI ; EI
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Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7713
Collection中国科学院国家空间科学中心
Affiliation1.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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