搜索资源列表
Movingtargetdetect
- 帧间差分法进行运动目标检测，适用于对摄像头采集到的视频进行实时检测-Interframe difference method for moving object detection, real-time detection for video captured on camera
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 -Video presentation of algorithms include: 1、Static Background prediction of target detection. 2、static background frame difference method target detection
Video-Demo
- 程序包括： 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 对于做视频跟踪的很有帮助，程序很完整 -The procedures include: 1. Background prediction method in the static context of target detection. A static context of inter-frame difference
m
- 本程序使用帧间差分的方法实现了运动目标检测，但帧间差分法方法效果并不是很好。-This program uses the interframe difference method of moving object detection method the effect of inter-frame difference method is not very good.
Vshipinni
- 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 background prediction target detection and inter-frame difference method for target detection, target tracking and multi-objective, Meam the S
VideoDemo
- VC++视频处理框架，一款VC++视频目标检测演示框架的【源代码】，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 -VC++ video processing framework, target detection demonstrates the framework of a VC++ video [source code],
code
- 采用帧间差分法动物体识别，采用双检测线法计数-Frame difference method for animal identification, dual detector line method count
FindMoving
- 由运动目标检测的两种基本方法----帧间差分法和背景差分法,借助于OpenCV技术，在Visual C++ 6.0编程环境下开发了运动目标检测系统。该系统首先对不同途径采集的视频图像序列进行相关的预处理之后，分别采用不同检测算法检测出图像序列中的变化区域，最后用形态学滤波和连通性分析对变化区域进行后处理，从而将视频图像序列中的运动目标比较可靠地检测出来。-The two basic methods of moving target detection---- inter-frame diffe
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
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
the-detection-of-moving-targets
- 本程序运用帧间差分法进行运动目标的检测，通过帧间差分法获得差分图像，然后运用数学形态学进行处理，突出运动目标。-This program uses the inter-frame difference method for the detection of moving targets, the difference image obtained through the inter-frame difference method, and then use mathematical morpho
BackSub
- 帧间差分法去背景，可以实现图片序列中的任意两帧的相减-Inter-frame difference method to the background, you can achieve any picture sequence subtraction of two
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.
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
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
frame-difference-method(matlab)
- 基于帧间差分法的运动目标检测 赵小川 matlab例程 超赞 -Moving object detection based on frame difference method
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
The-infrared-target-detection-method
- 本程序采用matlab编码，一共有包括帧间差分法、背景差分法、光流法、混合高斯模型法四种方法来实现红外目标检测的功能，代码检测易懂，适合初学者多多借鉴~-This procedure using matlab coding, a total including the inter-frame difference, background subtraction, optical flow method, Gaussian mixture model approach are four ways
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