Siamese High-Level Feature Refine Network for Visual Object Tracking
文献类型：期刊论文
| 作者 | Rahman, Md. Maklachur1; Ahmed, Md Rishad2,3,4; Laishram, Lamyanba1; Kim, Seock Ho1; Jung, Soon Ki1 |
| 刊名 | ELECTRONICS
 |
| 出版日期 | 2020-11-01 |
| 卷号 | 9期号:11页码:21 |
| 关键词 | siamese network visual object tracking feature refine network attention mechanism |
| DOI | 10.3390/electronics9111918 |
| 通讯作者 | Jung, Soon Ki(skjung@knu.ac.kr) |
| 英文摘要 | Siamese network-based trackers are broadly applied to solve visual tracking problems due to its balanced performance in terms of speed and accuracy. Tracking desired objects in challenging scenarios is still one of the fundamental concerns during visual tracking. This research paper proposes a feature refined end-to-end tracking framework with real-time tracking speed and considerable performance. The feature refine network has been incorporated to enhance the target feature representation power, utilizing high-level semantic information. Besides, it allows the network to capture the salient information to locate the target and learns to represent the target feature in a more generalized way advancing the overall tracking performance, particularly in the challenging sequences. But, only the feature refine module is unable to handle such challenges because of its less discriminative ability. To overcome this difficulty, we employ an attention module inside the feature refine network that strengths the tracker discrimination ability between the target and background. Furthermore, we conduct extensive experiments to ensure the proposed tracker's effectiveness using several popular tracking benchmarks, demonstrating that our proposed model achieves state-of-the-art performance over other trackers. |
| WOS关键词 | BROADCAST |
| 资助项目 | Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education, Science and Technology[NRF-2019R1A2C1010786] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000592789400001 |
| 出版者 | MDPI |
| 资助机构 | Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education, Science and Technology |
| 源URL | [http://ir.ia.ac.cn/handle/173211/41675]  |
| 专题 | 自动化研究所_个人空间 |
| 通讯作者 | Jung, Soon Ki |
| 作者单位 | 1.Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Rahman, Md. Maklachur,Ahmed, Md Rishad,Laishram, Lamyanba,et al. Siamese High-Level Feature Refine Network for Visual Object Tracking[J]. ELECTRONICS,2020,9(11):21. |
| APA | Rahman, Md. Maklachur,Ahmed, Md Rishad,Laishram, Lamyanba,Kim, Seock Ho,&Jung, Soon Ki.(2020).Siamese High-Level Feature Refine Network for Visual Object Tracking.ELECTRONICS,9(11),21. |
| MLA | Rahman, Md. Maklachur,et al."Siamese High-Level Feature Refine Network for Visual Object Tracking".ELECTRONICS 9.11(2020):21. |
入库方式： OAI收割
来源：自动化研究所
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