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
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
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.
VIBE-master
- Vibe算法实现目标跟踪，目标检测,比混合高斯模型速度更快更准确-Vibe algorithm target tracking, target detection, faster and more accurate than Gaussian mixture model speed
Mixed-Gauss-model
- 混合高斯模型，内附源码、paper、测试结果、说明等。-Gaussian mixture model