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-  2018 

一种改进Haar-like特征的车辆识别算法 A Vehicle Identification Algorithm Based on Improved Haar-Like Feature

Keywords: Haar-like特征,特征压缩,车辆识别

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Abstract:

传统的Haar-like特征算法在特征提取过程中仅对图像全局进行特征提取,忽略了目标敏感区域,易受非目标区域的干扰,导致识别率降低.本文对传统的Haar-like特征提取算法进行了改进,将图像分成三个区域,运用的矩形框模板分别从这三个区域中提取像素值,将其中两个区域的像素值减去两倍的另外一个区域的像素值作为特征值.采用高斯随机测量矩阵对高维度的特征值进行压缩,运用Adaboost分类器训练方法,利用构造好的分类器对压缩后形成的特征空间进行分类识别.实验结果表明,本文的方法不仅减少了分类器所需的训练时间,而且识别性能也优于Haar-like特征、颜色纹理融合等传统算法

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