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project.rar
- 多目标跟踪的matlab代码，其中背景差分法可以实现实时更新。该代码在检测与跟踪少量目标时效果很好,但是跟踪目标大于8后,效果下降很多。,Multi-target tracking matlab code
AVI
- 光流法、帧间差分法、高斯背景模型差分法，在opencv环境下实现运动目标检测-moving objective detection matlab
yudong
- 运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点-Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better resul
shipin
- 视频运动目标检测，包括背景预测法目标检测和帧间差分法目标检测，Meam Shift目标跟踪和多目标重心法跟踪，内含演示说明。-Video moving target detection, including the context of target detection and prediction inter-frame difference method target detection, Meam Shift target tracking and multi-purpose center
trackingVideoDemo
- 可以对视频目标进行背景差分，或帧间差分，或Mean Shif法，或重心多目标跟踪法进行跟踪目标。-Targets can be the background of the video difference, or inter-frame difference, or Mean Shif law, or the focus of multi-target tracking method to track the target.
Video-Frame
- 视频帧分析源码，用于车辆检测及车牌识别，采用背景差分法-Analysis of source video frame for vehicle license plate detection and identification, using the background difference method
abs
- 用差分算法求背景的程序 静态背景下帧间差分法目标检测 -With the difference algorithm to solve the background of the program context of inter-frame difference method for static target detection
zhenjiancafen
- ：针对背景差分算法中在复杂背景下参考帧的提取问题，提出了一种新的背景提取方法；该算法用帧间差分法将帧中的背景象 素点检测出来，再确立出背景帧-: For the background subtraction algorithm in complex background reference frame extracting problems, a new background extraction The algorithm uses inter-frame difference meth
opencv
- 压缩包包括以下几个功能实现的opencv源代码：canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian background modeling, background subtrac
BackgroundSubtractionandFrameDifference
- 使用背景差分法进行运动目标提取并进行背景更新-Background difference method using the moving object extraction and background update
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
daima
- 实现视频的读取，并使用背景差分法检测出视频中的运动目标-The video of the read, and use background subtraction to detect moving objects in video
background
- 采用帧间差分法提取背景 一个是通过采用帧间差分法从多帧连续图像提取背景 另一个是通过背景提取运动物体 -Extracted by the background of a frame difference is the frame difference method by using a continuous multi-frame images extracted from the background of the other is the extraction of moving o
background-difference-method
- 利用OpenCV中背景差分的函数，进行背景差分法构建，可以很好的进行运动目标检测-Background difference method based on OpenCV
7
- 帧间差分法 基于背景重构的目标检测，内附检测视频序列 -Inter-frame difference method based on background reconstruction target detection, detection of video sequences containing
bgkVC6.0
- 可以很好进行背景差分,使用的是vc6.0软件加opencv1.0版本 ，读取的视频是avi格式的(background test vc6.0)
tracking_ball_Kalman
- 可以运用背景差分法实现运动目标检测，具体运用为检测球体运动，并标记运动轨迹(Can use the background difference method to achieve the movement target detection, the specific use of the ball for the detection of movement, and mark the trajectory)
多目标跟踪opencv
- 先用背景差分完成目标提取，将运动目标的相关信息放入到链表中，通过帧差完成对多目标的跟踪，达到实时性的要求 运动目标的相关信息存放于结构体中，可以在此基础上判断目标的动作行为跟踪基本框架，opencv编写，利用背景差分，质心法可以跟踪多个目标，并分配ID号，记录行动轨迹，可用于车辆道路等，大家可以参考学习下，效果有待改进，不同的视频会有不同的效果。(The relevant information of the moving object is stored in the structure.
FrameDifference
- 可以跟踪视屏对象，用了三帧差分法、背景差分法来辨别图片中的运动物体，包含了报告和算法说明(Visual screen objects can be tracked)
test2
- 对视频序列中的运动目标进行检测与跟踪，动目标检测部分采用背景差分法，跟踪部分采用卡尔曼滤波，检测结果用红色外接矩形框表示，跟踪结果用绿色矩形框表示 2、采用平均背景法更新背景图像。(The moving target in the video sequence is detected and tracked, the moving target detection part uses the background difference method, the tracking part uses