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LBP（局部二值模式）特征提取，用于人脸识别，(LBP feature extraction for face recognition. . .)

对多目标航迹跟踪进行关联和融合,采用JPDA（联合概率数据关联算法）对目标跟踪(And the multi-target track tracking is combined and merged)

对图像做spca有监督的主成分分析降维，并投影回图像来降噪，在本程序中，使用正弦函数控制图像变化，函数值作为监督信息(Image do spca supervised principal component analysis dimension reduction, noise reduction and projected back images)

SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性，亲身检测可用(SIFT feature is a local feature of image. It keeps invariant to rotation, scaling, brightness change, and also keeps a certain degree of stability to view angle change, affine transformation and noise.)

需安装Halcon

老大中 《变分法基础》，对图像处理很有用的一本书(Lao Dazhong 《basis of variations》 which is very useful in the image processing)

harris角点检测，并且实现两幅图像特征点的匹配，最终完成图像的拼接(harris corner detection, and realize two image feature point matching, the final completion of image stitching)

说明：  基于积分图像的人脸图像光线归一化程序，内含处理结果对照图。(based on the integral image Face Image light under a program containing the results of the control plan.)

一个基于MFC窗口的具有图形图像处理的功能的MFC程序，可对图像灰度，滤波等处理好功能(MFC program has a function of image processing based on MFC window can be a good feature for grayscale images, filtering and other processing)

该源码为目标检测和跟踪算法 包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (The source code for target detection and tracking algorithm include: 1 Static background background prediction target detection 2 Static background frame difference method for target detection 3. Mean Shift tracking method 4 multi-target tracking methods focus)