hyit_DW

该程序是我多年的经验总结以及代码，实现了全景目标跟踪、火焰识别、烟雾识别、起立坐下行为判断、越界闯入、徘徊、违规停车等多种智能功能一体化，粒子滤波、贝叶斯分类器、随机森林等多种在线学习机制，还有传统的camshift、meanshift、光流法、卡尔曼滤波、struck、KCF、TLD、CT、区域匹配，相位相关、轮廓跟踪等多种算法(The program is my many years of experience and code, the realization of the panorama target tracking, flame detection, smoke detection, standing up sitting judge, cross-border intrusion, wandering, illegal parking and other various intelligent functions integration, particle filter, Bayesian classifier, random forest variety of online learning mechanism, and the traditional CAMSHIFT, meanshift, optical flow method, Kalman filter, the, KCF, regional matching, phase correlation, contour tracking and other several algorithms)

CxVision V0.05 源代码 智能机器视觉系统 0.05版本源代码（Euresys版本） 这是视觉智能的开始，应用于众多大型工业检测环境，多线程对相机多轴运动控制系统，针对当前最先进的智能视觉系统的一个雏形 当前版本是基于Euresys稳定的工业检测工具上的开源 此后版本 CxVision拥有了更多更强大的自主核心系统功能和核心算法 是现代智能视觉的领航系统 更多智能CxVision 搜索CxVision QQ群一起分享CxVision的发展和进步(CxVision V0.05 source code version of intelligent machine vision systems 0.05 source code (Euresys version) This is the beginning of visual intelligence, used in many large industrial inspection environments, multi-threaded multi-axis motion control system of the camera, for the most advanced intelligent vision The current version of a prototype system is based on Euresys stable industrial detection tools on the open source version of CxVision have more then a more powerful independent core functions and core algorithm is the vision of modern intelligent navigation systems more intelligent CxVision search CxVision QQ group to share the development and progress CxVision)

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)

本代码主要关于摄影测量中的单向空间后方交会(resection of photogrammetry)

点云三维重建中需要用的法向量计算，能够有效避免法向量不一致的问题，更好进行三维重建。测试有用。(Normal vector calculation point cloud reconstruction in need, and can effectively avoid the problem of inconsistent normals, better three-dimensional reconstruction. Useful for testing.)

3D 点云建筑物分割代码3D 点云建筑物分割代码3D 点云建筑物分割代码(3D point cloud, buildign segmentation3D point cloud, buildign segmentation3D point cloud, buildign segmentation)

这是DCT的改进算法，可以提高DCT算法的执行速度。(This is the DCT of the improved algorithm can improve the execution speed DCT algorithms.)

三视图，用二维图像显示三位图像，分主视图，俯视图，侧视图(view)

车牌矫正,对于一写不够标准的车牌进行矫正，让车牌更容易被分割(Plate correction, not enough for a standard license plate write to correct, so more likely to be split plate)

在道路交通管理中，为了获得车辆的运动数据，早期经常采用的是感应线圈等硬件测量的方法。而如果采用摄像头拍摄的道路视频，再用计算机软件处理的方法，则可以极大的增加方便性和灵活性。本文运动目标检测与跟踪研究如何让计算机从视频图像序列中获得物体运动数据。(Traffic management in order to obtain motion data of the vehicle, is a method often used early induction coil measurement hardware. If using a video camera to shoot on the road, and then deal with methods of computer software, you can greatly increase the convenience and flexibility. This paper studies the moving target detection and tracking moving objects how to get data from a computer video image sequence.)