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MyVideo1.0_AutoCamshift
- 序用MFC+openCV编写。可实现自动获得一个目标选择框并进行跟踪 先用视频前几帧进行帧间差分，用cvFindContours()得到二值差分图像中最大的连通块作为camshift的初始选择框 可能有些压缩格式的视频打不开，需要安装Xvid解码器-Write sequence with MFC+openCV. Automatic target selection box and the interframe difference the first few frames before th
WLY57
- 对一视频进行灰度显示、边缘提取、帧间差分运算及速度测试-Grayscale display, a video edge detection, interframe differential operational speed test
BLkg19
- Visual C++ 基于帧间差分法的视频运动目标检测 轮廓提取-Visual C++ the interframe difference method based video moving target detection contours extracted
1GHY3249Video
- 对视频进行运动检测，基于相邻两帧帧间差分。 在相邻两帧（也可以为多帧）间计算逐象素的灰度差，并通过设置阈值来确定对应运动前景的象素，进而得到运动前景区域。-On a video motion detection, based on the two adjacent interframe difference. The gray-scale difference between the two adjacent frames (may be a multi-frame) calculating
Video-Demo
- VC++视频图像运动目标检测，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 视频只限于RGB非压缩Windows AVI格式-VC++ video image moving target detection, video presentations algorithm including: 1. The background prediction target d
MotionddDetection
- 视频序列中的运动目标检测 帧间差分法 -motion target detection
multitracking
- 基于OpenCV2.4.4+Visual Studio2008下的多目标跟踪代码。基于帧间差分法判断视频的背景和前景。-OpenCV2.4.4+ Visual Studio2008-based multi-target tracking code. Based on inter-frame difference method to determine the background and foreground of the video.
Motion-Detection-in-Video-
- 在VS2008环境下实现视频序列中，运动目标的检测和跟踪，包括帧差法、背景差分法、MeanShift算法。-In the VS2008 environment for video sequences, moving target detection and tracking, including frame difference method, background subtraction, MeanShift algorithms.
san-zhen-cha-fen
- 三帧差分法，绝对可用，matlab实现，里面有视频和结果图。如果程序出错误，可用先把result.avi删除，在做测试、-Three difference method, absolutely free, matlab realize, there are videos and results map. If the program is an error that can be used to delete first result.avi while doing the test,
detection-and-tracking
- 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-Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for
video-processing-
- 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 -Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target d
gaijinsuanfa
- 视频跟踪中，对目标的检测时一个很重要的环节。这种基于三帧差分的改进算法对目标检测起到了很好的作用。-Video tracking, the target detection is a very important part. This difference based on three improved algorithm for target detection has played a good role.
Video-Demo
- 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-Algorithm for video presentation include: 1 Static background background prediction target detection 2 Static background frame difference method for target de
Gradientfiltermethodw
- 基于视频图像处理提取夜间交通车辆完整轮廓的方法．通过梯度滤波消除路面反光的干扰，然后对经过预处理的相邻视频帧图像实行三帧差分分割运动区域。-Based on video image processing to extract the entire outline of the vehicle nighttime traffic methods. Reflective pavement through gradient filter to eliminate the interference, a
Frame_difference_method
- 利用帧间差分法，对视频中的相邻两帧图像进行差分处理，获取目标-using the frame differential, address the pictures and detect the object
ThreeZhen
- 基于Opencv方法做的一个先利用三帧差分法检测视频中运动目标！，再利用adaboost算法检测人脸！能运行效果有待改进！-Opencv based method to do a first use of three difference method to detect moving objects in video! , Re-use adaboost algorithm to detect human face! The effect can be improved to run!
frame-differential-method-
- 源代码在matlab实现相邻帧间差分法对于视频中对移动目标的识别。附送视频，在matlab上能打开的视频只有无压缩的AVI视频。视频背景没有变化的情况下，处理效果很好。-The source code in matlab between adjacent frame difference method for the recognition of moving target in the video. Attached to the video, can open the video on th
zhenchajianfa
- 基于帧间差分法的静态背景下目标的识别与追踪，源码包括视频的读取与回放以及二值化后的图像处理。-Based on the identification and tracking under static background frame difference method goals, including the source and playback of video and read the binarized image processing.
BackGroundTest
- 帧间差分法：一种比较简单的目标分割方法，在静态背景下，先通过视频序列建立相应的背景图，然后利用当前图像与背景图像的差分来检测运动区域，并进行膨胀、腐蚀等操作，从而提取出运动目标。-Frame difference method: a relatively simple object segmentation, in the static context, first established by video sequences corresponding background image, an
zhenjianchafen
- 基于opencv2.4.3和vs2010实现视频图像的帧间差分-Achieve interframe differential video image