| 改进的快速行人检测方法 |
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| 引用本文： | 王健弘,章品正,罗立民. 改进的快速行人检测方法[J]. 计算机工程与应用, 2009, 45(28): 160-163. DOI: 10.3778/j.issn.1002-8331.2009.28.048 |
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| 作者姓名： | 王健弘 章品正 罗立民 |
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| 作者单位： | 东南大学,影像科学与技术实验室,南京,210096;东南大学,影像科学与技术实验室,南京,210096;东南大学,影像科学与技术实验室,南京,210096 |
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| 摘 要： | 行人检测在视频监控以及智能车系统中有着广泛的应用前景，为了能够更有效地检测行人，将人脸检测中级联检测框架引入行人检测中，并对其进行改进，采用Gentle AdaBoost算法进行分类器训练，以提高训练效率，同时在训练前引入了特征预筛选，以减少训练时间和系统开销。实验表明，改进后的方法训练时间短，检测精度高，同时具有较快的检测速度。
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| 关 键 词： | Gentle AdaBoost 行人检测 矩形特征 级联分类器 |
| 收稿时间： | 2008-06-17 |
| 修稿时间： | 2008-9-29 |
Improved fast pedestrian detection method |
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| WANG Jian-hong,ZHANG Pin-zheng,LUO Li-min. Improved fast pedestrian detection method[J]. Computer Engineering and Applications, 2009, 45(28): 160-163. DOI: 10.3778/j.issn.1002-8331.2009.28.048 |
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| Authors: | WANG Jian-hong ZHANG Pin-zheng LUO Li-min |
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| Affiliation: | Laboratory of Image Science and Technology，Southeast University，Nanjing 210096，China |
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| Abstract: | Pedestrian detection has a wide application in video surveillance and intelligent vehicle system.This paper applies boosted cascade algorithm，which originates from face detection，to the pedestrian detection.Some modifications to this algorithm are also introduced.Firstly，it uses Gentle AdaBoost for classifier training to improve training efficiency.Secondly，it introduces a feature filter procedure before training to decrease training time and memory occupation.The experiment result indicates that the algorithm is efficient in both training and detection，it also has a relatively high detection rate. |
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| Keywords: | Gentle AdaBoost pedestrian detection rectangle feature cascade classifier |
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