Robust orientation estimate via inertial guided visual sample consensus
文献类型：期刊论文
| 作者 | Zhang YL(张吟龙) ; Li Y(李杨); Liang W(梁炜); Tan JD(谈金东); An HB(安海博)
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| 刊名 | Personal and Ubiquitous Computing
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| 出版日期 | 2018 |
| 卷号 | 22期号:2页码:259–274 |
| 关键词 | Orientation estimate Wearable sensors Inertial measurement unit Monocular camera Sample and consensus |
| ISSN号 | 1617-4909 |
| 产权排序 | 1 |
| 通讯作者 | Liang W(梁炜) ; Tan JD(谈金东) |
| 中文摘要 | This paper presents a novel orientation estimate approach named inertial guided visual sample consensus (IGVSAC). This method is intentionally designed for capturing the orientation of human body joints in free-living environments. Unlike the traditional visual-based orientation estimation methods, where outliers among putative image-pair correspondences are removed based on hypothesize-and-verify models such as the computationally costly RANSAC, our approach novelly exploits prior motion information (i.e., rotation and translation) deduced from the quick-response inertial measurement unit (IMU) as the initial body pose to assist camera in removing hidden outliers. In addition, our IGVSAC algorithm is able to ensure estimation accuracy even in the presence of a large quantity of outliers, thanks to its capability of rejecting apparent mismatches. The estimated orientation from the visual sensor is, in turn, able to correct long-term IMU drifts. We conducted extensive experiments to verify the effectiveness and robustness of our IGVSAC algorithm. Comparisons with highly accurate VICON and OptiTrack Motion Tracking Systems prove that our orientation estimate system is quite suitable for capturing human body joints. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Telecommunications |
| 研究领域[WOS] | Computer Science ; Telecommunications |
| 关键词[WOS] | TRACKING ; SENSORS ; CAMERA ; SYSTEM |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000429358200004 |
| 源URL | [http://ir.sia.cn/handle/173321/20808]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 作者单位 | 1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Konxville, TN, 37996, United States |
| 推荐引用方式 GB/T 7714 | Zhang YL,Li Y,Liang W,et al. Robust orientation estimate via inertial guided visual sample consensus[J]. Personal and Ubiquitous Computing,2018,22(2):259–274. |
| APA | Zhang YL,Li Y,Liang W,Tan JD,&An HB.(2018).Robust orientation estimate via inertial guided visual sample consensus.Personal and Ubiquitous Computing,22(2),259–274. |
| MLA | Zhang YL,et al."Robust orientation estimate via inertial guided visual sample consensus".Personal and Ubiquitous Computing 22.2(2018):259–274. |
入库方式： OAI收割
来源：沈阳自动化研究所
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