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首页> 外文会议>World Congress on Intelligent Control and Automation;WCICA 2010 >Crowd Density Estimation via Markov Random Field (MRF)
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Crowd Density Estimation via Markov Random Field (MRF)

机译：通过马尔可夫随机场（MRF）进行人群密度估计

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摘要

Crowd density estimation is of importance in security monitoring. Many crowd disasters happened because of the loss of control of the crowd density. This paper presents an algorithm to estimate crowd density by employing Markov Random Field (MRF). Three types of image features are extracted for estimating, and they are affected more by the neighboring features than by others, meeting the properties of Markov. The method of least squares is applied to estimate the model of crowd density. The system is applied for real-time videos. The proposed algorithm can estimate the number of people in crowds, and the experiments have shown the effectiveness.
机译：人群密度估计在安全监控中很重要。由于失去对人群密度的控制，发生了许多人群灾难。本文提出了一种利用马尔可夫随机场（MRF）估计人群密度的算法。提取了三种类型的图像特征进行估计，并且它们受邻近特征的影响要大于其他特征，从而满足马尔可夫的性质。最小二乘法用于估计人群密度模型。该系统适用于实时视频。提出的算法可以估计人群中的人数，实验表明了该算法的有效性。

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