Performance evaluation of visual object detection and tracking algorithms used in remote photoplethysmography
文献类型：会议论文
| 作者 | Zhao, Changchen1; Mei, Peiyi1; Xu SS(徐首帅)2 ; Li YQ(李永强)1; Feng YJ(冯远静)1
|
| 出版日期 | 2019 |
| 会议日期 | October 27-28, 2019 |
| 会议地点 | Seoul, Korea, Republic of |
| 页码 | 1646-1655 |
| 英文摘要 | While most existing remote photoplethysmography (rPPG) approaches employ off-the-shelf visual object detection and tracking algorithms, these algorithms may not be well suited for rPPG problem. The detection and tracking algorithms are designed to be robust to fast deformations, non-distinctive color, fast translations, etc. while rPPG cares about background intervention, region consistency, smoothness of the traces, etc. Hence, there is a gap between a good detection and tracking algorithm and the rPPG measurement accuracy. This paper aims at bridging this gap by evaluating the performance of popular detection and tracking algorithms widely used in rPPG methods. We establish a processing pipeline and choose four detection and tracking algorithms. Experiments are conducted on two publicly available datasets and one self-collected dataset. We find three key factors that affect the rPPG accuracy: 1) stability of the tracking trajectory, 2) content consistency, and 3) robustness to deformation and fast translation. This study highlights the need for developing novel detection and tracking algorithms dedicated to rPPG and gives some useful insights. |
| 源文献作者 | Computer Vision Foundation ; IEEE |
| 产权排序 | 2 |
| 会议录 | Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-5023-9 |
| WOS记录号 | WOS:000554591601086 |
| 源URL | [http://ir.sia.cn/handle/173321/26624]  |
| 专题 | 沈阳自动化研究所_智能检测与装备研究室 |
| 通讯作者 | Feng YJ(冯远静) |
| 作者单位 | 1.Zhejiang University of Technology, Hangzhou 310023, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Zhao, Changchen,Mei, Peiyi,Xu SS,et al. Performance evaluation of visual object detection and tracking algorithms used in remote photoplethysmography[C]. 见:. Seoul, Korea, Republic of. October 27-28, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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