改进的HOG-CLBC的行人检测方法
传统的基于HOG与LBP的特征融合行人检测方法光谱信息损失多、对噪声较为敏感，原始的LBP算法对不均匀的光照变化鲁棒性差，对纹理特征的旋转不变性差。为了克服以上缺点，本文提出了一种基于CLBC和HOG特征融合的行人检测算法。首先，计算原始图像的CLBC特征，并计算基于CLBC纹理特征谱的HOG特征。接着计算原始图像的HOG特征以提取图像的边缘特征。然后将图像的三种特征融合来描述图像，并使用PCA方法降低特征维度，最后使用HIKSVM分类器实现最终对行人的检测。本文分别在Caltech行人数据库和INRIA行人数据库进行实验以验证所提出算法的有效性。实验结果表明，本文所提出的算法有效地提高了行人...
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| Published in | Guang Dian Gong Cheng = Opto-Electronic Engineering Vol. 45; no. 8; pp. 180111 - 80 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | Chinese English |
| Published |
Chengdu
Editorial Office of Opto-Electronic Advances
01.08.2018
中国矿业大学信息与控制工程学院,江苏 徐州,221116%中国矿业大学信息与控制工程学院,江苏 徐州 221116 河南应用技术职业学院信息工程学院,河南 开封 475000 |
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| Online Access | Get full text |
| ISSN | 1003-501X |
| DOI | 10.12086/oee.2018.180111 |
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| Abstract | 传统的基于HOG与LBP的特征融合行人检测方法光谱信息损失多、对噪声较为敏感，原始的LBP算法对不均匀的光照变化鲁棒性差，对纹理特征的旋转不变性差。为了克服以上缺点，本文提出了一种基于CLBC和HOG特征融合的行人检测算法。首先，计算原始图像的CLBC特征，并计算基于CLBC纹理特征谱的HOG特征。接着计算原始图像的HOG特征以提取图像的边缘特征。然后将图像的三种特征融合来描述图像，并使用PCA方法降低特征维度，最后使用HIKSVM分类器实现最终对行人的检测。本文分别在Caltech行人数据库和INRIA行人数据库进行实验以验证所提出算法的有效性。实验结果表明，本文所提出的算法有效地提高了行人检测的精度。 |
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| AbstractList | 传统的基于HOG与LBP的特征融合行人检测方法光谱信息损失多、对噪声较为敏感，原始的LBP算法对不均匀的光照变化鲁棒性差，对纹理特征的旋转不变性差。为了克服以上缺点，本文提出了一种基于CLBC和HOG特征融合的行人检测算法。首先，计算原始图像的CLBC特征，并计算基于CLBC纹理特征谱的HOG特征。接着计算原始图像的HOG特征以提取图像的边缘特征。然后将图像的三种特征融合来描述图像，并使用PCA方法降低特征维度，最后使用HIKSVM分类器实现最终对行人的检测。本文分别在Caltech行人数据库和INRIA行人数据库进行实验以验证所提出算法的有效性。实验结果表明，本文所提出的算法有效地提高了行人检测的精度。 TP391; 传统的基于HOG与LBP的特征融合行人检测方法光谱信息损失多、对噪声较为敏感,原始的LBP算法对不均匀的光照变化鲁棒性差,对纹理特征的旋转不变性差.为了克服以上缺点,本文提出了一种基于CLBC和HOG特征融合的行人检测算法.首先,计算原始图像的CLBC特征,并计算基于CLBC纹理特征谱的HOG特征.接着计算原始图像的HOG特征以提取图像的边缘特征.然后将图像的三种特征融合来描述图像,并使用PCA方法降低特征维度,最后使用HIKSVM分类器实现最终对行人的检测.本文分别在Caltech行人数据库和INRIA行人数据库进行实验以验证所提出算法的有效性.实验结果表明,本文所提出的算法有效地提高了行人检测的精度. |
| Author | 冯晨晨 Zhang, Liying 游大磊 Feng Chenchen 程德强 Tang Shixuan 唐世轩 张丽颖 / Cheng Deqiang You Dalei |
| AuthorAffiliation | 中国矿业大学信息与控制工程学院,江苏 徐州,221116%中国矿业大学信息与控制工程学院,江苏 徐州 221116;河南应用技术职业学院信息工程学院,河南 开封 475000 |
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| Author_FL | Tang Shixuan Cheng Deqiang Feng Chenchen Zhang Liying You Dalei |
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| Title | 改进的HOG-CLBC的行人检测方法 |
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