| 基于改进塔式梯度直方图的行人检测算法 |
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| 引用本文： | 贾世杰,陈诗帅.基于改进塔式梯度直方图的行人检测算法[J].大连铁道学院学报,2013(6):98-102. |
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| 作者姓名： | 贾世杰 陈诗帅 |
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| 作者单位： | 大连交通大学电气信息学院,辽宁大连116028 |
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| 摘 要： | 采用改进分块方式的塔式方向梯度直方图（PHOG,Pyramid Histogram of oriented gradient）作为特征提取的方法,应用支持向量机（SVM,Support Vector Machine）算法作为分类器进行训练和检测.INRIA测试集上的测试结果表明,相对于采用传统HOG和PHOG特征表示方法,所提出的方法使分类检测正确率有了进一步提高.
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| 关 键 词： | 行人检测 梯度直方图 塔式梯度直方图 SVM |
Pedestrian Detection Algorithms Based on Improved Pyramid Histogram of Oriented Gradient |
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| JIA Shi-jieSchool of Electrical ＆ Information Engineering,Dalian Jiaotong University,Dalian,China CHEN Shi-shuai.Pedestrian Detection Algorithms Based on Improved Pyramid Histogram of Oriented Gradient[J].Journal of Dalian Railway Institute,2013(6):98-102. |
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| Authors: | JIA Shi-jieSchool of Electrical ＆ Information Engineering Dalian Jiaotong University Dalian China CHEN Shi-shuai |
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| Affiliation: | JIA Shi-jie(School of Electrical ＆ Information Engineering, Dalian Jiaotong University, Dalian 116028, China) CHEN Shi-shuai(School of Electrical ＆ Information Engineering, Dalian Jiaotong University, Dalian 116028, China) |
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| Abstract: | |
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| Keywords: | pedestrian detection HOG PHOG SVM |
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