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fast Gaussian process latent variable model
- fast Gaussian process latent variable model Software (FGPLVM). This toolbox allows for larger GP-LVM models through using the sparse approximations suggested in papers by authors including Titsias, Snelson, Ghahramani, Seeger, and Lawrence
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
Gaussian-mixture-model-algorithm
- 完整的背景混合高斯建模的程序，很不错，很好用-Gaussian mixture model algorithm
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.
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