搜索资源列表
CImGauMM_
- 高斯混合模型，及背景减计算，Blob连通域，统计流量计数
human_face_detect_facemodel
- 人脸检测系统源码，准确定位，检测人脸，具有很强的抗噪能力，背景去除，最最关键的一步是肤色匹配，提供了人脸模型，算法自己看，绝对好东西-Human face detection system source code, accuratly position and detect face, which has a strong anti-noise ability. It is widely used in machine vision, pattern recognition, security
RunningAvg-without-seletivity
- 此程序的功能是针对图像中的运动目标的检测，程序依照输入视频、建立背景模型、灰度化、两帧相减、检测结果的流程来书写程序。-The function of this procedure is the image of moving target detection, the procedure in accordance with the input video, the establishment of the background model, gray, and two-phase reduc
gaussianBkModelTest
- 混合高斯背景模型，用于前景提取，对复杂光线等因素鲁棒性较好-The mixed Gaussian background model for prospects extract better robustness of complex lighting and other factors
codebook
- 建立高级背景模型，实时更新新的像素点，在训练前景的过程中删除经常不被访问的码本-Senior background model, real-time update new pixels, in the process of training prospects often access code of the delete
TT1
- 利用高斯模型更新背景，再进行区域标记，去除噪声影响，检测出车辆。-Using the Gaussian model update the background, and then mark the area to remove the effects of noise, detect vehicles.
test2
- 读取图像文件，自动寻找双峰型直方图的阈值，HOUGH变换寻找直线，背景检测.（单高斯模型）-Read image files, automatically find the bimodal histogram threshold, HOUGH transform looking straight, background detection. (Single Gaussian model)
hybrid-gaussian
- 混合高斯模型，提取前景和背景。效果勉强，可直接使用。-Mixed Gauss model, extraction of foreground and background.