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Effectual-Method-for-Crowd-Counting
- 对固定镜头下视频序列中运动人体的检测和跟踪方法进行研究，利用灰度图像差分双向投影信息检测人体目标，提出一种基于统 计运动区域几何特征固定比例的分割算法，使用最近邻匹配方法对人体进行跟踪。-Video sequences in the detection and tracking of the movement of the human body to study under the fixed lens, bi-directional projector information using
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
matlabcar
- 基于差分背景计算车辆数量 素材是截图视频网站的一段隧道视频 通过背景差分 实现计算隧道内的车辆-Calculate the number of vehicles based on differential background material is a section of the tunnel screenshots video website video background subtraction calculation tunnel vehicles
cvcamera
- opencv 从摄像头或视频文件中读取视频，并利用背景差分法对运动物体进行检测-opencv read the video from the camera or video files, and use background subtraction method to detect moving objects
Background-subtraction
- opencv 从摄像头或视频文件中读取视频，并利用背景差分法检测出视频中的运动物体-opencv read the video from the camera or video files, and using background subtraction method to detect moving objects in video
MotionddDetection
- 视频序列中的运动目标检测 帧间差分法 -motion target detection
Whl
- 背简单的景差分法，能够简单快速对视频进行差分-Back simple scene difference method, can be simple and quick video for difference
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.
jiance
- 基于视频的背景差分法检测跟踪运动车辆，内有程序和视频-Video-based background subtraction method detecting and tracking moving vehicles, there are procedures and video
run
- 基于视频的帧间差分法检测跟踪运动车辆，内有程序和视频-Video-based frame difference method for detecting and tracking moving vehicles, there are procedures and 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
Difference-algorithm
- 一种基于差分算法的视频运动目标检测技术，不错的文章-Difference algorithm based on video motion detection technology, good article
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