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抗運(yùn)動干擾的人臉視頻心率估計

楊昭 楊學(xué)志 霍亮 劉雪南 李江山

楊昭, 楊學(xué)志, 霍亮, 劉雪南, 李江山. 抗運(yùn)動干擾的人臉視頻心率估計[J]. 電子與信息學(xué)報, 2018, 40(6): 1345-1352. doi: 10.11999/JEIT170824
引用本文: 楊昭, 楊學(xué)志, 霍亮, 劉雪南, 李江山. 抗運(yùn)動干擾的人臉視頻心率估計[J]. 電子與信息學(xué)報, 2018, 40(6): 1345-1352. doi: 10.11999/JEIT170824
YANG Zhao, YANG Xuezhi, HUO Liang, LIU Xuenan, LI Jiangshan. Heart Rate Estimation from Face Videos Against Motion Interference[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1345-1352. doi: 10.11999/JEIT170824
Citation: YANG Zhao, YANG Xuezhi, HUO Liang, LIU Xuenan, LI Jiangshan. Heart Rate Estimation from Face Videos Against Motion Interference[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1345-1352. doi: 10.11999/JEIT170824

抗運(yùn)動干擾的人臉視頻心率估計

doi: 10.11999/JEIT170824
基金項(xiàng)目: 

合肥工業(yè)大學(xué)應(yīng)用科技成果培育計劃資助項(xiàng)目(JZ2016YYPY0051)

Heart Rate Estimation from Face Videos Against Motion Interference

Funds: 

Training Programme Foundation for Application of Scientific and Technological Achievements of Hefei University of Technology (JZ2016YYPY0051)

  • 摘要: 該文針對現(xiàn)有的人臉視頻心率檢測方法在現(xiàn)實(shí)情景中受運(yùn)動干擾難以準(zhǔn)確估計心率的問題,提出一種抑制運(yùn)動干擾的非接觸式心率估計新方法。首先利用判別響應(yīng)圖擬合與KLT跟蹤算法消除人臉的剛性運(yùn)動干擾;然后使用對運(yùn)動魯棒的色度特征進(jìn)行兩步心率估計,并引入空間梯度因子調(diào)控空域和頻域的權(quán)重,抑制非剛性運(yùn)動的干擾;最終得到人臉不同區(qū)域融合的平均心率數(shù)值和信號波形圖,實(shí)現(xiàn)心率的精確估計。實(shí)驗(yàn)結(jié)果表明:所提方法相比其它的基于人臉視頻的心率估計方法優(yōu)勢明顯,提升了信號波形圖和真實(shí)脈搏波形的一致性,進(jìn)一步提高了心率估計的精度和魯棒性。
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出版歷程
  • 收稿日期:  2017-08-23
  • 修回日期:  2018-02-01
  • 刊出日期:  2018-06-19

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