本文提出了一种基于小波变换与灰度共生矩阵的人群密度特征提取方法，进而利用支撑向量机实现人群密度级别的估 计。实验结果表明本文提出的方法是可行的。-In this paper, based on population density characteristics of the wavelet transform and GLCM extraction method, and then using the support vector machine to estimate the crowd

使用灰度共生矩阵提取图像的纹理特征，通过提取的特征来表示一副图像，最终每幅图像被表示为51维的一维向量。-Use GLCM texture features extracted image feature extraction is represented by an image, and ultimately each image is represented as a one-dimensional vector of 51 dimensions.

GLCM Feature extraction-GLCM Feature extraction

经典的灰度共生矩阵纹理计算方法，抑制载波型差分相位调制，独立成分分析算法降低原始数据噪声。- Classic GLCM texture calculation method, Suppressed carrier type differential phase modulation, Independent component analysis algorithm reduces the raw data noise.