target_trace

文档里，给出了基于交互式多模型方法的目标跟踪原理建模的方法，并附带了分析和仿真程序，很不错的，值得下载学习(Documentation, tracking principle gives the modeling method based on the target interactive multiple model approach, and comes with analysis and simulation procedures, very good, it is worth learning download)

图像中目标的定位， 边缘检测，检测目标并跟踪，(The positioning of the target image, edge detection, target detection and tracking,)

说明：  kl变换. KL变换的流程如下： （1)获取多幅图像的统计特性：图像之间的协方差 （2)获取协方差的特征值和特征向量，从而获取正交核:特征矩阵 （3)图像对应象素点对各个特征向量进行投影运算。(kl transformation)

静态图像显著性分析程序，利用matlab开发。加州理工三位教授所写。(Software] Saliency Map Algorithm : MATLAB Source Code Below is MATLAB code which computes a salience/saliency map for an image or image sequence/video (either Graph-Based Visual Saliency (GBVS) or the standard Itti, Koch, Niebur PAMI 1998 saliency map). See the included readme file for details. I also have a newer, simpler version implementing only the Itti algorithm (see simpsal/readme.txt). Please try it out and email me if you have any questions. Download: Please select one of the following to download: [gbvs.zip] This package includes an implementation of the full GBVS algorithm. It also lets you compute an Itti, Koch, Niebur saliency map. It includes a function for computing the ROC score between eye-movements (provided as x,y fixation points) and a saliency map, and a function for displaying a saliency map overlayed on top of an image (as in the screenshot below). Right after you download the zip file, you must change into the gbvs/ directory and run: >>)

各类图形处理算法代码，齐全的图形处理算法，可以直接运行。去噪，识别，检测，拼接等(Complete graphics processing algorithm, you can run directly. Denoising, identification, detection, stitching and so on)

对图像进行平滑去噪，提高图像的质量，为后期的图像处理打基础(very good)

一种二值图像连通区域标记方法，能用于目标跟踪，我已经应用过，效果不错。(It is a new connected componet labeling algorithm for binary image,and can be used in object tracking. It is effective to be proved.)

说明：  微表情识别代码，可以识别高兴，悲伤，痛苦，愤怒等微表情。(Micro expression recognition code)

依巴谷输入星表集（第2版）是一个恒星数据星表，其中主星表中包含了120313个天体最新非常精确的位置、自行、星等、颜色、光谱型、视差、径向速度等信息。(data of star)

变化检测的常用方法：基于pac的变化检测方法，结果很好！(Common method of change detection: pac change detection method based on the results of good!)