Fundamentals_Radar

用CPHD的方法实现多目标跟踪，及对CPHD性能的检测。(With CPHD method to achieve multi-target tracking, and performance testing for CPHD.)

激光光束的整形，用于将高斯光束整形成均匀光束，采用GS算法(Laser beam shaping, for forming a uniform whole beam Gaussian beam using GS algorithm)

光流法实时实现的文献及代码，2012发表于cvpr，200*200的图像，每秒可达200帧，2012_CVPR_Lip-motion events analysis and lip segmentation using optical flow(Optical flow method to achieve real-time literature and code, 2012 published in cvpr, 200* 200 images per second, up to 200, 2012_CVPR_Lip-motion events analysis and lip segmentation using optical flow)

镜头指纹识别，提取镜头特征，对其他照片进行识别，判断是否来源同一相机。(Image Source Detection)

激光标定中得激光线检测程序，激光标定中得激光线检测程序(A laser line detection program was the laser line detection procedures, laser calibration laser calibration)

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

采用最大方差阈值分割法，对指纹进行提取。(Using the maximum variance threshold segmentation method for fingerprint extraction.)

matlab下图像处理技术在智能交通中的应用 主要是小车的跟踪和标示(matlab image processing technology under the Intelligent Transportation System in the main car tracking and labeling)

正则化工具,里面有TV正则化，用超分辨率重建(regulation tool)

这是我的课程设计作业，作用是测试车流量，对车辆进行定位分割，已验证成功内附测试视频(This is my course design work, the role is to test the traffic flow, the vehicle positioning and segmentation, has been successfully included in the test video)