基于亮度信息的红外行人检测

摘要

红外图像中的行人具备边缘和亮度两个显著特征信息。为了能够充分利用这两种信息，在亮度直方图特征基础上，提出了一种不同区间大小的亮度直方图特征。通过统计分析红外图像中行人各部件对应的亮度区间信息，确定映射规则，从而构建不同区间大小的亮度直方图，然后通过与梯度方向直方图特征相结合，并用于Adaboost模型训练。该方法提高了行人检测系统的检测率。%The pedestrian in the infrared images has two significant features that are edge and intensity. In order to take full advantage of the two information, based on the HOI(Histogram of Intensity) feature, the DBHOI(Different Bin Histogram of Intensity) feature is proposed. Through the statistics and analysis of the intensity information of pedestrian in the infrared image, the DBHOI descriptor determines the mapping rules, and then constructs an intensity histogram with different size of bins. Combined with the HOG(Histogram of Oriented Gradient) descriptor, the DBHOI descriptor is used to train Adaboost model. This method improves the detection rate of the pedestrian detection system.