Performance evaluation of visual object detection and tracking algorithms used in remote photoplethysmography

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	Performance evaluation of visual object detection and tracking algorithms used in remote photoplethysmography
	Zhao, Changchen 2; Mei, Peiyi 2; Xu SS(徐首帅)1; Li YQ(李永强)2; Feng YJ(冯远静)2
	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
内容类型	会议论文
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.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Zhejiang University of Technology, Hangzhou 310023, 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.