搜索资源列表
backrecognize
- 基于opencv的背景建模，运动物体检测-opencv based on the background of modeling, detection of moving objects
motiondetect
- 进行运动图像的建模和运动目标的检测， 进行了算法的测试和优化
ObjectDetection
- 中科院博士写的程序。基于OpenCV的背景建模，运动物体检测。C程序
movingtargettracking
- 视频图像背景建模与运动目标检测 采用GMM背景建模与智能更新，能够实时实现视频智能监控动目标检测，可用于视频行为识别、视频事件检测。
bkgrd
- 利用背景建模检测运动物体,用Opencv做的
背景建模检测运动物体
- 利用背景建模检测运动物体。
Gauss
- 运动跟踪Viual c++ 高斯背景建模-Motion Tracking Viual c++ Gaussian Background Modeling
motiondetect
- OpenCV example, 背景建模，运动物体检测-OpenCV example, the background modeling, moving object detection
ACMMM2003
- 介绍一种应用于视频运动检测中前景和背景建模分割的方法-proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes both gradual and sudden “once-off” changes.
bkgrd
- 利用背景建模检测运动物体（openCV)-Detection using background modeling moving objects (openCV)
beijingjianmo
- 此算法通过背景建模的方法来检测运动物体，效果还不错-This algorithm modeling methodology through the background to detect moving objects, the effect was not bad
MoG
- 混合高斯建模 matlab版，绝对正确。多多下载，谢谢大家支持-Gaussian mixture modeling matlab version, absolutely correct. A lot of downloading, Thank you for your support
BackgroundSubtractionLibrary
- 基于混合高斯模型的背景消除 利用混合高斯背景建模进行运动物体检测, 同时引入共轭先验以改进权值更新方程-Gaussian mixture model based on the background to eliminate the use of Gaussian mixture background modeling for moving object detection, while the introduction of conjugate a priori weights to imp
mixture_of_gaussians
- 基于混合高斯背景建模的理论思想，实现运动目标检测，检测效果理想-Gaussian Mixture Background Modeling Based on the theory of ideology, to achieve moving target detection, test results are satisfactory
P_GMM
- 用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
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)
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)
hunhe
- 采用多个高斯分布的方式来描述背景像素点的特征，在线地更新参数和权重，实现运动检测和前景提取的同步进行，即采用混合高斯背景算法进行建模，以降低动态背景的干扰。(The characteristics of the background pixel are described by several Gaussian distributions, and the parameters and weights are updated online. Synchronization of motion d
Taget_Detcetion_tracking
- 该项目包含特征提取，模型判别，运动建模，特征提取包含Haar-like，HOG，判别包含岭回归，SO-SVM，测试数据集为2013Tracking-Benchmake BlasketBall手动标注图像(The project includes feature extraction, model discrimination, motion modeling, feature extraction including Haar-like, HOG, discriminant inclusion
数学建模运动模糊图像的复原
- 数学建模，动态模糊与模糊图像处理，维纳滤波方法。(Mathematical modeling, dynamic fuzzy and fuzzy image processing, Wiener filtering method.)