搜索资源列表
recognition-algorithm-design
- 运用帧差序列图像进行背景建模与更新，采用背景差分和LBP纹理分析法进行运动车辆的分割及阴影消除。提出车辆形状投影量的概念，将视频车辆二维形状信息降至一维，并设计二维输入模糊分类器，根据形状投影量和车高，车长比，完成车型的多种类精细识别。-Frame difference image sequence background modeling and updating, background subtraction and the LBP texture analysis method for th
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
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],
images-shadow-dislodge
- 载入运动视频的每一帧，然后将其转化为灰度图，构造固定背景背景，基于差分法取出运动目标的阴影。-Loading each frame of video, and then be converted to grayscale
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
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
fuzabeijinggenzong
- 介绍了一种常用的Kim目标分割方法,并 针对其不足,对Kim方法进行了改进,将连续两帧的差分图像和背景差分图像直接相乘得到灰度图 像,然后对该灰度图像进行阈值分割来获取目标区域模板,再基于灰度加权图像模板匹配法实现目标 跟踪 -A common Kim target segmentation, and for its shortcomings, Kim method improvements, the two consecutive frames of the different
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.
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
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
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.
Video-Demo
- 静态背景下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方法目标跟踪方法-Background prediction target detection under static background, frame difference method for target detection under static background, Mean Shift method for target tracking method
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
ThisGMM1
- 图像背景动态建模，采用高斯滤波，比差分法效果好，适合运动场景的前景、背景分离-Image background dynamic modeling, using a Gaussian filter, better than the difference method results, prospects for sports scene, background separation
ROI02
- 用差分法分离背景提取感兴趣区域ROI区域-Finite difference method to extract the ROI area
sanzhenchafenfa
- 视频图像处理，采用帧间差分法进行视频前景和背景的分离-Video image processing, inter-frame difference method of separating the foreground and background video