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avi.rar
- 视频演示算法包括： 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 该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。,Video Demo algorithm includes: 1. Static background prediction in the context of target detection 2. The conte
Video
- 视频演示算法包括： 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-Video demo algorithm include: 1 static background background prediction method 2 the static background frame difference method target detection 3 the target
zongshu
- 视频监控图像的运动目标检测方法综述,介绍比较全面-Video surveillance image of moving target detection methods, introducing a more comprehensive
RunningAvg-without-seletivity
- 此程序的功能是针对图像中的运动目标的检测，程序依照输入视频、建立背景模型、灰度化、两帧相减、检测结果的流程来书写程序。-The function of this procedure is the image of moving target detection, the procedure in accordance with the input video, the establishment of the background model, gray, and two-phase reduc
motion_slice
- 使用opencv编写的提取avi视频的水平和垂直时空切片的程序。可以用于视频镜头切换检测，和运动目标检测。-Opencv extract prepared using avi video horizontal and vertical sections of the process of time and space. Video camera can be used for change detection and moving target detection.
detection
- 智能视频监控中，用于运动目标检测，效果好，适合从事视频监控方面的研究人员或是初学者学习使用。-it is used in Smart video surveillance for moving target detection,and the performance is good, suitable for video surveillance of researchers or a beginner learning to use.
detection11
- 智能视频监控中，用于运动目标检测，效果好，适合从事视频监控方面的研究人员或是初学者学习使用。-it is used in Smart video surveillance for moving target detection,and the performance is good, suitable for video surveillance of researchers or a beginner learning to use.
Videoimagemovingtargetdetection
- 视频图像运动目标检测 简单应用 识别效果比较理想，VC写的代码，值得参考 包含用使用说明-Video image moving target detection results identify a simple application ideal, VC to write the code it is also useful to use instructions included
MovingObjectDetection
- 这是一个视频运动目标检测跟踪，能够比较准确的检测任务和车辆。-This is a video moving target tracking, can be more accurate detection tasks and vehicles.
blobtrack
- 针对在复杂背景中检测出多批特定运动目标并实施分配批号实行标记跟踪，本文利用OpenCV的运动物体跟踪的数据结构、函数以及基本框架，建立了一个由人机交互界面模块；运动物体的前景检测模块；运动物体的团块特征检测模块；运动物体的团块跟踪模块轨迹生成模块；轨迹后处理模块组成的视频图像运动目标分析系统。-Aim at detecting，tracking and marking multipule specific targets in complex background．We use the ba
VideoDemo
- 视频演示算法包括，1. 静态背景下的背景预测法目标检测。 静态背景下帧间差分法目标检测Mean Shift目标跟踪方法 重心多目标跟踪方法。该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Video presentation algorithms, including, 1. Static background background prediction target detection. Static background fram
LVD
- Lv分布是2011年提出的新的视频分布，可以在CFCR域对线性调频信号（LFM）进行参数估计和检测，在高速机动目标检测中也有重要的应用(Lv distribution is a new time frequency distribution, which proposed in 2011. It can estimate and detect the linear frequency modulation signal (LFM) in CFCR domain, and it also has
shipinzhongyundongmubiaojiancesuanfayanjiu
- 视频监控中运动目标检测、跟踪与行为识别算法的研究(Research on moving object detection, tracking and behavior recognition algorithm in video surveillance)
vidio object detection
- 用帧差法提取视频中的运动目标（静态背景）(Extracting moving objects in video by frame difference method)
code
- 在Matlab平台下读取avi视频文件，然后进行基于邻帧差法的视频运动目标检测(Avi video files are read under the Matlab platform, and then the moving object detection is carried out based on the adjacent frame difference method .)
trackingMethodsOnCar
- 目标检测，对包含动态背景信息的监控视频，设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
real_time_object_detection
- 深度学习 + OpenCV，Python实现实时视频目标检测(We learned how to use deep learning + OpenCV + video stream to perform real-time object detection)
EmguCV播放视频及动目标检测
- 通过EmguCV动态链接库实现视频播放和动目标检测功能(The function of video playback and moving target detection through EmguCV dynamic link library)
基于卡尔曼滤波的运动目标检测，matlab代码
- 基于卡尔曼滤波算法的运动目标检测，做视频车道线检测，动态车辆识别，行人检测的朋友可以参考一下(Based on Calman filter algorithm for moving object detection, do video lane detection, dynamic vehicle recognition, pedestrian detection friend can refer to.)
帧间差法视频目标检测
- 基于帧间差分法的视频目标检测系统 运动目标自动检测是对运动目标进行检测、提取、识别和跟踪技术，在许多领域都有重要应用。使用帧间差分法设计并实现视频目标的检测系统(Video Target Detection System Based on Interframe Difference Method Moving object automatic detection is a technology of detecting, extracting, recognizing a