| 基于多尺度分析和分形的人群密度估计方法 |
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| 引用本文： | 王尔丹,李晓华,沈兰荪. 基于多尺度分析和分形的人群密度估计方法[J]. 计算机工程与应用, 2005, 41(29): 35-38 |
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| 作者姓名： | 王尔丹 李晓华 沈兰荪 |
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| 作者单位： | 北京工业大学信号与信息处理研究室,北京,100022;北京工业大学信号与信息处理研究室,北京,100022;北京工业大学信号与信息处理研究室,北京,100022 |
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| 基金项目： | 国家自然科学基金（编号：60172045;60402036）;北京市自然科学基金（编号：4042008）项目资助 |
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| 摘 要： | 人群的密度估计对于建筑物的设计和人群安全至关重要。论文提出了一种新的人群密度自动估计方法。对于低密度人群图像采用基于像素统计的方法,对于较高密度人群图像采用基于多尺度分析和分形的纹理分析方法,并应用支撑向量机进行人群密度等级分类。对人群图像集的实验表明,该方法较以前的方法更为准确有效。
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| 关 键 词： | 人群密度估计 多尺度分析 分形 支撑向量机 |
| 文章编号： | 1002-8331-（2005）29-0035-04 |
| 收稿时间： | 2005-05-01 |
| 修稿时间： | 2005-05-01 |
A Technique for Estimation of Crowd Density Based on Multi-scale Analysis and Fractal |
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| Wang Erdan,Li Xiaohua,Shen Lansun. A Technique for Estimation of Crowd Density Based on Multi-scale Analysis and Fractal[J]. Computer Engineering and Applications, 2005, 41(29): 35-38 |
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| Authors: | Wang Erdan Li Xiaohua Shen Lansun |
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| Affiliation: | Signal and Information Processing Lab,Beijing University of Technology,Beijing 100022 |
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| Abstract: | Crowd density estimation is very important to building designs and crowd safety.In this paper,a new crowd density estimation technique is proposed.A pixel-counting based method is applied to low density images whereas a texture analysis method based on multi-scale analysis and fractal is implemented to higher density images which are classified by SVM.The results from experiments on the crowd image set indicate that the new technique presented by this paper is more accurate and efficient than previous ones. |
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| Keywords: | crowd density estimation multi-scale analysis fractal support vector machines |
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