Compressionmotionestimate

采用相邻一定距离的邻域图像差，提高了抗干扰能力，对亮度变化不敏感(Matching based on neighborhood difference feature)

此matlab程序属于雷达信号处理领域，用于检测目标和对目标测速。(This matlab program belongs to the field of radar signal processing for detecting the target and the target speed.)

多目标跟踪的主程序，包含跟踪起始，数据关联，目标状态估计等过程(The main process of multi-target tracking, including track initiation, data association, target state estimation process)

冈萨雷斯第三版 10.3.6节 关于双 ostu阈值处理的算法(digital image processing,third edition the code about two ostu threshold processing)

主要思想是用meanshift算法跟踪目标，拖动矩形框选择目标模板，meanshift自动跟踪 本程序的主要缺陷体现在帧差法自动识别目标，这部分功能与上一个功能独立，可用可不用，用于自动识别目标，效果不是很好，主要体现在对图像视频的要求是 背景（目标以外的所有事物）不能动(The main idea is to use meanshift algorithm to track the target and drag a rectangle to select the target template, meanshift automatic tracking The main drawback of the program is reflected in the frame difference method automatically identifies the target, which is part of the function and one function independently, may or may not, be used to automatically identify the target, the effect is not very good, mainly reflected in the requirements of the video image is the background (target All things outside) can not move)

对于图像图形处理，基于先验形状、窄带法的CV模型的分割方法，有举例说明，效果明显。(For image and graphics processing, segmentation method based on a priori shape, Narrow Band CV model, there are illustrated, the effect is obvious.)

此代码应用于图像分割，是基于类间方差的大津法求分割阈值(This code applies to image segmentation is based on the variance between two classes of Otsu threshold segmentation uated)

图像交互是分割 graph cut,实现交互式分割，并且可以连续分割(Interactive image is split graph cut, to achieve interactive segmentation, and can be continuously split)

可以打开视频文件，对视频文件中的人头进行检测并统计数量。算法有HOG RCNN 及Aggrate Channel Features三种(You can open the video file, the head of the video file to detect and statistics. Algorithm HOG RCNN Aggrate Channel Features tionchannel three)

可以对边缘检测出来的椭圆,实现椭圆参数的自动提取,非常的好用,自己编写的,请各位大哥多指教,QQ:526289(be on the verge of testing the ellipse, the ellipse parameters to achieve the automatic extraction, very convenient, their preparation, please enlighten you more than big brother, QQ : 526289)