A Trajectory-based Attention Model for Sequential Impurity Detection | |
Wenhao He; Haitao Song; Yue Guo; Xiaonan Wang; Guibin Bian; Kui Yuan | |
刊名 | Neurocomputing |
2020 | |
卷号 | 410期号:410页码:271-283 |
关键词 | Impurity detection Siamese fusion network Trajectory-based attention model Sequential region proposal classification |
ISSN号 | 0925-2312 |
DOI | 10.1016/j.neucom.2020.06.008 |
通讯作者 | Guo, Yue(guoyue2013@ia.ac.cn) |
英文摘要 | Impurity detection involves detecting small impurities in the liquid inside an opaque glass bottle with complex textures by looking through the bottleneck. Sometimes experts have to observe continuous frames to determine the existence of an impurity. In recent years, region-based convolutional neural networks have gained incremental successes in common object detection tasks. However, sequential impurity detections present more challenging issues than detecting targets in a single frame, because consecutive motions and appearance changes of impurities cannot be captured using those common object detectors. In this paper, we propose a simple and controllable ensemble architecture to alleviate this problem. Specifically, a siamese fusion network is used to generate impurity proposals, then an attention model based on visual features and trajectories is proposed to localize a unique region proposal in each frame, finally, a sequential region proposal classifier using a long-term recurrent convolutional network is applied to refine impurity detection performances. The proposed method achieves 79.81%mAP on IML-DET datasets, outperforming a comparable state-of-the-art Mask R-CNN model. |
资助项目 | National Key R&D Program of China[2018YFB1306300] ; National Natural Science Foundation (NNSF) of China[61421004] |
WOS关键词 | NETWORKS |
WOS研究方向 | Computer Science |
语种 | 英语 |
出版者 | ELSEVIER |
WOS记录号 | WOS:000579799300023 |
资助机构 | National Key R&D Program of China ; National Natural Science Foundation (NNSF) of China |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/40609] |
专题 | 自动化研究所_智能制造技术与系统研究中心_多维数据分析团队 |
通讯作者 | Yue Guo |
作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wenhao He,Haitao Song,Yue Guo,et al. A Trajectory-based Attention Model for Sequential Impurity Detection[J]. Neurocomputing,2020,410(410):271-283. |
APA | Wenhao He,Haitao Song,Yue Guo,Xiaonan Wang,Guibin Bian,&Kui Yuan.(2020).A Trajectory-based Attention Model for Sequential Impurity Detection.Neurocomputing,410(410),271-283. |
MLA | Wenhao He,et al."A Trajectory-based Attention Model for Sequential Impurity Detection".Neurocomputing 410.410(2020):271-283. |
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