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Comparison-of-edge-detection-method
- 为了在实际应用中能够选择最佳的边缘检测方法，采用Matlab语言鳊程，将若干常用的边缘检测方法应用于花瓶边缘检测仿真实验．包括微分算子法(Robert算亍、Sobel算予、Prewitt算子和Kirseh算子)、高斯一拉普拉斯算子法、坎尼算子法、零交叉法和Frei—chen边缘检测法等,并进行了对比分析。-In practice, in order to be able to the best edge detection method using Matlab language bream
Sequential_Detection
- 已知方差的高斯随机信号的序贯检测：给出了H0和H1假设下理论推导得到的序贯检测平均样本数的曲线，以及仿真得到的序贯检测平均样本数的曲线，理论结果和仿真结果较为吻合。-Sequential detection of known variance Gaussian random signals: H0 and H1 are given under the assumption that the theoretical derivation curve sequential detect the av
camshif
- 运用高斯模型与camshift结合的方法实现全自动人员检测-Gaussian model using the method of combining with camshift achieve automatic detection staff
Gaussian-texture-modeling
- 运动车辆的检测算法实现和设计，高斯建模的纹理特征建模的源代码。-Motion detection algorithm implementation and design of the vehicle, Gaussian texture modeling feature modeling source code.
foeu-source-code
- 单目标检测，用到了马尔科夫随机场和高斯混合模型建模-single object detection
foeu-multiobject
- 多目标检测，用到了马尔科夫随机场和高斯混合建模-multiobject detection
Harris
- 用于图像的角点检测Harris算法，采用高斯窗口进行滤波-harris
TrafDect
- 基于改进高斯模型的车流量检测算法，用MATLAB编写-Adaptive vehicle detection and traffic statistics algorithm based on improved Gaussian model
build_scale
- SIFT特征点检测配准方法建立高斯尺度空间的程序，比较有用-Registration SIFT feature point detection method to establish the Gaussian scale space program, more useful
SIFT-HARRIS-Gaussian
- OPENCV实现sift目标识别匹配，harris，sift算子焦点检测与高斯法图像分割，vs2013-OPENCV achieve sift target identification match, harris, sift operator focus detection and image segmentation Gauss law, vs2013
Gassainmotiondect
- 基于OpenCV的高斯背景模型检测，检测效果比较好-OpenCV based on Gaussian background model of testing, test results were quite good
matlab
- 十字路口车流通量及车身颜色的统计通过MATLAB创建系统对象，用于读入待处理视频，用于色彩空间转换、检测出包含汽车运动的图像块、用高斯混合模型检测背景、对检测出的运动车辆进行框画、标注检测到车辆的个数用于显示结果。颜色提取算法采用 RGB 颜色模型，利用MATLAB进行仿真-Crossing the circulation of the car and body color statistics by MATLAB to create object system, used to read th
harris
- 使用harris进行角点检测，测试不同的阈值情况下harris检测角点的情况。同时检测不同的高斯核对角点检测结果的影响。-Use harris corner detection, case test different detection threshold value harris corner points. Simultaneous detection of the effects of different corners Gauss check test results.
BSG_GMM
- 背景检测算法，利用混合高斯模型，可以每一帧更新背景帧得到较好的结果-Background detection algorithm, using Gaussian mixture model, you can update each frame background frame to get better results
signal-detection
- 基于贝叶斯准则，用matlab仿真出二元与四元数字信号在加性高斯白噪声干扰下的统计检测的方法与性能，并与理论结果比较-Bayesian criteria using matlab simulation methods and properties of the binary and quaternary digital signal in additive white Gaussian noise of statistical tests and compared with the theore
000214
- 对运动目标检测所用背景减除法进行的检测程序，有高斯法，均值法，-Background subtraction division for the moving target detection test procedure, a gaussian method, average method,
CA-CFAR_final
- 产生一个线性调频信号用于探测在固定距离上的目标的存在性，回波中加上复高斯白噪声，采用CA-CFAR方法检测得到图形-A chirp signal used to detect targets at a fixed distance the existence of echoes plus complex Gaussian white noise, the use of CA-CFAR method of detecting get graphic
beijingxiangjian
- 基于opencv的运动目标检测，采用了混合高斯和背景相减两种方法，带源码，希望有点用-Opencv based moving target detection, using a mixture Gaussian and background subtraction of two ways, with source code, hope Somewhat
Per_Gauss_Q_U_test
- 表述一个高斯过程的传递，用于随机共振理论的研究 随机共振在高斯背景下的信号检测-Expression of a gaussian process, used in the study of the theory of stochastic resonance of stochastic resonance in the context of gaussian signal detection
bgfg_egmml
- 采用混合高斯模型对背景进行建模，然后对视频的运动目标进行检测！-By using the gaussian mixture model for background modeling, and then to detect the moving targets of video!