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sanzhenchafen
- 三帧差分算法是相邻两帧差分算法的一种改进方法，它选取连续三帧视频图像进行差分运算，消除由于运动而显露背景影响，从而提取精确的运动目标轮廓信息。该算法的基本原理是是先选取视频图像序列中连续三帧图像 并分别计算相邻两帧的差分图像，然后将差分图像通过选取适当的阈值进行二值化处理，得到二值化图像，最后在每一个像素点得到的二值图像进行逻辑与运算，获取共同部分，从而获得运动目标的轮廓信息。-Three differential algorithm is an improved method of two
meanshift-tracking
- 主要思想是用meanshift算法跟踪目标，拖动矩形框选择目标模板，meanshift自动跟踪 本程序的主要缺陷体现在帧差法自动识别目标，这部分功能与上一个功能独立，可用可不用，用于自动识别目标，效果不是很好，主要体现在对图像视频的要求是 背景（目标以外的所有事物）不能动-The main idea is to use meanshift algorithm to track the target and drag a rectangle to select the target templ
motion
- 帧差法实现静态背景下运动目标的检测，并显示运动目标的边界-Achieve detection of moving targets under static background frame difference and show the boundaries of moving targets
sanzhengchafen
- 这是一个三帧差分程序，可以用于背景检测和目标检测。-it is very use
framedifference
- 帧差法运动检测中提取背景的matlab代码 -Motion detection to extract the background frame differential method of matlab code
backgroundtest3
- 基于MATLAB下的背景差分算法，通过第一帧和中间帧以及最后帧得出背景。-Based on the background subtraction algorithm under the matlab programming language, through the first frame and the middle frame and the last frame background.
frame_diif_complied_goundback_diff
- 利用帧差法实现图像目标的检测，背景不变的情况下效果较好-The use of the image frame difference method to achieve the goal of detecting, in the context of unchanged better
code
- 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-Spent three difference method, background subtraction method to identify pictures of moving objects, including a descr iption of the report and algorithms
zhencha
- 通过帧差法实现目标背景分离，提取移动目标-Achieve background frame differential method through separation, extraction of moving targets
three-difference-method
- 基于背景差分法。本程序使用的三帧差分法。实现对目标进行跟踪计数。-Based on background subtraction. The program uses three difference method. Track to achieve the goal counted.
Target-detection
- 本文选用了背景减法、帧间差分法和光流法。背景减法是通过将当前帧与背景帧相减得出灰度差值并将此差值与阈值比较判断是否有运动目标。-This paper chose the background subtraction and frame difference method and optical flow method.Background subtraction is through to the current frame and background frame subtraction gr
finalcode
- 基于帧差法的运动目标检测，可以实现静止背景下的运动目标检测-Based Moving Target Detection frame difference can be achieved moving target detection under static background
jj
- 三帧差法的实现，用于动态目标检测，分出背景和前景-Three implementation of frame differential method for dynamic target detection, the background and foreground
BJchafen
- 基于背景差分法的运动目标检测，可以有效解决帧差法的空洞、细小连接等问题-Based moving target detection background subtraction method can effectively solve the empty frame difference, the small connection problems
carTraffic
- 本程序主要关于使用背景帧差法实现对来往的车辆进行识别检测与跟踪，且涉及到一些简单的形态学算法处理。-This program is mainly about using the implementation background frames differential method to identify the traffic detection and tracking, and involves some simple morphological algorithm processing.
main
- opencv帧差法求运动物体，在视频中过滤掉背景提取运动物体并二值化-opencv frame difference method the moving object, moving object extraction filtering out the background in the video and the binarized
target-detectio
- 常见的目标检测方法主要有光流法，帧差法和背景模型法。光流法利用背景和运动目标的运动速度不同进行目标检测，计算量较大；帧差法对连续几帧图像的背景进行配准，通过前后帧的差分图像分离出运动物体；背景差法根据已知背景对图像进行差分，在运动背景下需要对背景模型进行更新。-Common target detection methods are mainly optical flow method, frame differential method and background model method.
1212
- 提出一种算法来检测无源毫米波（PMMW）动态scenes.This算法的图像移动目标融入了背景注册，并为detection.Experiments 的结果帧差法最大互信息登记方法证明其有效性。-An algorithm is presented to detect moving targets in Passive Millimeter Wave(PMMW) images with dynamic scenes.This algorithm incorporates the maximum mu
Background-difference-method
- 背景差分法是采用图像序列中的当前帧和背景参考模型比较来检测运动物体的一种方法,其性能依赖于所使用的背景建模技术。背景差分法检测运动目标速度快，检测准确，易于实现，其关键是背景图像的获取。在实际应用中，静止背景是不易直接获得的，同时，由于背景图像的动态变化，需要通过视频序列的帧间信息来估计和恢复背景，即背景重建，所以要选择性的更新背景。-Background difference method is the use of images in the sequence of the current
Target-Detection
- 三帧差法检测运动目标位置（背景需要静止效果最好）-Three-difference frame method to detect moving target position (background still needs best)