SiamON: Siamese Occlusion-Aware Network for Visual Tracking
文献类型：期刊论文
| 作者 | Fan, Chao3,4; Yu, Hongyuan3 ; Huang, Yan3; Shan, Caifeng1,2; Wang, Liang3; Li, Chenglong4
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| 刊名 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
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| 出版日期 | 2023 |
| 卷号 | 33期号:1页码:186-199 |
| 关键词 | Visual tracking occlusion aware attention siamese network |
| ISSN号 | 1051-8215 |
| DOI | 10.1109/TCSVT.2021.3102886 |
| 通讯作者 | Li, Chenglong(lcl1314@foxmail.com) |
| 英文摘要 | Occlusion has been proven to be one of the most challenging factors faced by most visual trackers. There are mainly two difficulties, the first one is that the number of occlusion samples are very limited even though collecting a large-scale training data set, and another one is how to correctly learn the features of the target when comes to occlusion situations. In this paper, we tried to solve these two problems together in our proposed model. To this end, we propose a novel Siamese Occlusion-aware Network (SiamON) for high-performance visual tracking. In particular, we predefine some soft-masks to solve the problem of fewer occlusion samples, which perceive patterns of occlusion contents at different locations and take these masks as the conditions to guide occlusion-aware feature learning. Meanwhile, we propose a target-aware attention mechanism allows the model to pay more attention to the target and further weaken the impact of occlusion. Extensive experiments on several popular benchmarks show that our tracking method exceeds many state-of-the-art trackers especially in the presence of occlusion and meets the requirements of real-time. |
| WOS关键词 | OBJECT TRACKING ; ROBUST |
| 资助项目 | National Natural Science Foundation of China[61976003] ; National Natural Science Foundation of China[61806194] ; National Natural Science Foundation of China[U1803261] ; Shandong Provincial Key Research and Development Program[2019JZZY010119] ; Chinese Academy of Sciences, Artificial Intelligence Research (CAS-AIR) through the Open Project Program of the National Laboratory of Pattern Recognition (NLPR) |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000911746000014 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Shandong Provincial Key Research and Development Program ; Chinese Academy of Sciences, Artificial Intelligence Research (CAS-AIR) through the Open Project Program of the National Laboratory of Pattern Recognition (NLPR) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/51332]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Li, Chenglong |
| 作者单位 | 1.Chinese Acad Sci, Artificial Intelligence Res, CAS AIR, Beijing 100190, Peoples R China 2.Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Anhui Univ, Sch Artificial Intelligence, Informat Mat & Intelligent Sensing Lab Anhui Prov, Anhui Prov Key Lab Multimodal Cognit Computat, Hefei 230601, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fan, Chao,Yu, Hongyuan,Huang, Yan,et al. SiamON: Siamese Occlusion-Aware Network for Visual Tracking[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2023,33(1):186-199. |
| APA | Fan, Chao,Yu, Hongyuan,Huang, Yan,Shan, Caifeng,Wang, Liang,&Li, Chenglong.(2023).SiamON: Siamese Occlusion-Aware Network for Visual Tracking.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,33(1),186-199. |
| MLA | Fan, Chao,et al."SiamON: Siamese Occlusion-Aware Network for Visual Tracking".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 33.1(2023):186-199. |
入库方式： OAI收割
来源：自动化研究所
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