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红外热成像在步态识别中的应用 被引量：8

Application of infrared thermal imaging in gait recognition
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摘要 为更有效地探测人体目标,提出了利用红外光进行人体成像及步态识别的新方法。首先将人体散发的红外光转换为电信号,经计算机处理后转换为红外步态图像,然后分割出人体目标并将其规格化叠加处理获取步态特征图,再提取包含整体模型信息的边界矩参数以及包含简化模型信息的骨架特征参数,以此作为步态特征识别参量输入至支持向量机(SVM)进行分类识别。使用自建的红外步态数据库(IRGD)进行实验,正确识别率(PCR)为71～92%,且识别效果受人体携带外物的影响不显著。 In order to detect the human body very well,a new method based on infrared(IR) thermal imaging was applied for automatic recognition by gait.The infrared ray from human body was transformed to electric signal.The computer processed the electric signal and produced the gait image based on infrared thermal imaging.Then body silhouette sequences were extracted and added together to obtain the gait feature image(GFI).After this,the parameters involving integral model were extracted by using the theory of invari...
作者 薛召军 赵鹏飞 万柏坤 李轶 明东 靳世久
机构地区 天津大学精密仪器与光电子工程学院
出处 《光电子．激光》 EI CAS CSCD 北大核心 2009年第3期402-405,共4页 Journal of Optoelectronics·Laser
基金 国家自然科学基金资助项目(60501005) "十一五"国家高技术研究发展计划资助项目(2007AA04Z236) 天津市科技支撑计划重点资助项目(07ZCKFSF01300)
关键词 步态识别 红外热成像 支持向量机(SVM) 特征提取 gait recognition infrared thermal imaging support vector machines feature extraction
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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共引文献21

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光电子．激光
2009年 第3期

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