搜索资源列表
ikldemo
- visualc++和opencv实现。点跟踪。改进的Lucas-Kanade光流算法，检测视频运动目标。鼠标点击目标点，视频跟踪。-Point tracking. Improved Lucas-Kanade optical flow algorithm, video motion detection target. Click on the target point, video tracking.
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)
vcimageprocessedcc
- 包含所有有关图像处理的源码，图像增强，运动目标跟踪检测，图像恢复，图像去噪等多个图像处理的源码-Contains all the source of image processing, image enhancement, tracking a moving target detection, image restoration, image denoising, and other image processing of source code
sy5
- 改进的混合高斯背景模型，用于检测运动目标，能够有效的提取前景-Improved gaussian mixture background model, used to detect moving targets, and can effectively extract prospect
motion-target-detection
- 利用差分法，实现对运动目标的检测，提取轮廓等-Image segmentation, motion target detection
camshift_tracking
- 基于opencv的camshift方法，进行运动目标的检测，效果还不错-Opencv based meanshift method to detect moving targets, the results were good
FrameDifference
- 帧间差分法对运动目标的检测-matlab code
bs_movingdetecting_1
- 实现了运动目标的检测和跟踪，使用背景差分法，帧间差分法、光流法和均值漂移的方法，能够实现很好的对运动目标的跟踪-Achieve a moving target detection and tracking, using background subtraction, inter-frame difference, optical flow method and the method of mean-shift, it is possible to achieve a good track mov
22
- 对于视频运动目标的检测十分有效，采用的是帧差法-For the video moving target detection is very effective, using the frame difference method
MFCVideo(1)
- 先用背景差分法进行运动目标的检测，然后求出运动目标的质心，然后进行聚类。-First with the background subtraction method to detect moving targets, moving targets and then find the center of mass and clustering.
matlab_gmm
- 针对单高斯建模的不足，提出高斯混合背景模型，可以检测出比较清楚的运动目标，经实验对比，噪声较少
meanshift
- 采用meanshift算法对运动目标进行检测，文件完整，能够很好完成相应步骤- The meanshift algorithm is used to detect the moving object, the file is complete, and the corresponding steps can be completed very well.
Video-Demo
- 使用vc++编写的基于视频的运动目标识别与跟踪，对视频中的车辆进行检测跟踪。-Prepared using vc++ video-based moving target identification and tracking of video vehicle detection and tracking.
frame_diff
- 基于matlab，利用帧间差分法实现运动目标的检测，本代码适用于新版本的matlab，不用使用者重新修改。在MATLAB2014a编译通过-Based on matlab, using inter-frame difference method to detect moving objects, this code applies a new version of matlab, the user need not re-edit. In MATLAB2014a compiler
tracking
- 图像处理,本文主要用于运动目标的检测,主要解决的问题是如何将运动目标分割出来.-Image processing, this paper is mainly used for moving target detection, the main problem is how to exercise the target partition.
1120
- 运动检测问题，这是一个运动检测运动目标的运动速度场图。-Motion detection problem, this is a moving target motion detection velocity field pattern.
gaosi
- 通过改进型的混合高斯进行运动帧序列的目标检测，另外加了一些图像与处理等，功能十分强大-Through the improved hybrid Gauss motion frame sequence target detection, plus a number of images an
three-image-difference
- 对视频序列中的运动目标使用三帧差法进行检测，经过测试后能在VS2010+opencv2.4.10下运行。-The video sequence of moving targets using three frame difference detection, after testing can run under VS2010+opencv2.4.10.
target-detection
- 能够使用光流法对运动目标进行有效地检测，实时性较好。-The optical flow method can be used to detect moving targets effectively.