资源列表
视频读取-播放-存储操作程序
- avi2img.m 功能：将视频转换为单张图片 avi2mat.m 功能：将所有单帧图片转换为向量存储为mat文件 img2avi.m 功能：将所有单帧图片转换为视频 run_vedio.m 功能：将视频在Matlab中播放(Avi2img.m function: converts the video to a single picture Avi2mat.m function: converts all single frame pictures into vect
高斯混合模型GMM-latentSpace-v2.0
- 用于背景建模实现视频运动目标分割 与目标跟踪算法(For background modeling, video moving object segmentation and object tracking algorithm)
pplane8
- 计算数学模型的解的趋势，并画出合适的平面相图，得到需要的平衡点等数据结果。(The tendency of the solution of a mathematical model)
OpenCV入门教程
- opencv2的入门级书籍，大家可以好好学习一下基础(Opencv2 entry level books)
GS
- 运用GS混合模型建模，能够对视频里面运动物体检测(Able to detect moving objects in video)
Motion-BasedForegroundSegmentation
- 编程实现视频前景目标提取，处理，特别是对于监控视频，实用性很大。(Programming implementation of video foreground target extraction, processing, especially for monitoring video, is very practical.)
Code
- matlab Code 图像识别提取前景目标(matlab code Image recognition, extraction, foreground target)
pso_segment
- 粒子群优化(PSO)算法是一类随机全局优化技术，它通过粒子间的相互作用发现复杂搜索空间中的最优区域缩短寻找阈值的时间。因此，基于粒子群优化算法的图像分割以粒子群优化算法为寻优工具，建立具有自适应和鲁棒性的分割方法。从而可以在最短的时间内，准确地确定分割阈值。(Particle swarm optimization (PSO) algorithm is a kind of stochastic global optimization technique. It can find the optim
OTSU
- 最大类间方差（OTSU）法，它是一种统计判决法，不需要人为设定其他参数，是一种自动选择阈值的方法。(Maximum inter class variance (OTSU) method, which is a statistical decision method, does not need to set other parameters artificially. It is a method of automatically selecting threshold.)
Video-Detection-MoG-master
- 视频目标检测，用于检测视频中的运动目标，主要应用于监控视频(Video object detection, which is used to detect moving objects in video, is mainly used to monitor video)
BSQtoBIL
- 将遥感BSQ图像转为BIL图像,并保持图像额完整性(transform BSQ image to BIL image)
一问 + 二问 VIBE_Code
- 用混合高斯模型进行背景处理，并能过滤微小的扰动，适用于动态背景(Use the mixed Gaussian model for background processing and to filter tiny perturbations for dynamic background)