搜索资源列表
initialactivecontour
- 用MATLAB编写的主动轮廓提取算法，该算法能对图像中的目标轮廓进行高效检测-Written by MATLAB active contour extraction algorithm that can image the efficient detection of object contour
yinyingxiaochu
- matlab实现的阴影消除程序，图像处理的常用程序，供大家参考-Shadow Elimination matlab implementation procedures, common image processing program, for your reference
Detection-of-feature-object
- 本程序是用matlab编写，分析图像中特定元素的基本特征，并通过工具箱自带的函数分析计算元素。-This procedure is compiled by matlab, which can be used to recognize and analyze feature points or objects in the image. Also with the toolbox in the software, more analytical result are presented.
GL
- Spot Object Motion Detection Algorithm
01
- 基于kpca以及pca,核流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on kpca and pca, nuclear manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, proc
02
- 基于kpca以及pca,dpca,流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on kpca and pca, dpca, manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, pr
03
- 基于kpca以及pca,pls,流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on kpca and pca, PLS, manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, proc
05
- 基于kpca以及pca,dpls流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on kpca and pca, DPLS manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, proc
1
- 本程序用来实现故障检测与诊断，对象是Te过程，方法为PCA和kpca,有很好的识别效果，识别率为百分之九十九-This procedure used to realize fault detection and diagnosis, object is Te process, the method for kpca, has the very good recognition effect, recognition rate is ninety-nine percent
MovingDetect
- matlab的运动目标分割 车辆检测 平均建模背景差分-Moving object segmentation matlab Vehicle Detection average difference modeling background
dct1_embed
- Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied i
displayRelevantVisualWords
- Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied i
GCmex2.tar
- edison wrapper: very excellent for detection object
2
- 本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM_FJ，对象为TE,GMM是用的FJ算法，效果很好-This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM_FJ, object for TE, GMM FJ algorithm is used, the effect is very good
3
- 本程序实现多模态故障检测与故障诊断，用的方法是LPP_GMM_FJ，对象为CSTH,GMM是用的FJ算法，效果很好-This procedure realize multimodal, fault detection and fault diagnosis method is LPP_GMM_FJ, object for CSTH, GMM FJ algorithm is used, the effect is very good
4
- 本程序实现多模态故障检测与故障诊断，用的方法是pca_GMM_FJ，对象为CSTH,GMM是用的FJ算法，效果很好-This procedure realize multimodal, fault detection and fault diagnosis method is pca_GMM_FJ, object for CSTH, GMM FJ algorithm is used, the effect is very good
5
- 本程序实现多模态故障检测与故障诊断，用的方法是pca_GMM_FJ，对象为TE,GMM是用的FJ算法，效果很好-This procedure realize multimodal, fault detection and fault diagnosis method is pca_GMM_FJ, object for TE, GMM FJ algorithm is used, the effect is very good
poselets_matlab_april2013
- 人体检测很热的算法，poselet，同时可以应用到一般物体的检测-The code of the algorithm based on poselet, which is very useful. Meanwhile,it can be used for detection of generic object.
objectdet
- Viola Jones 的目标检测程序，虽然人脸检测已经发展了近十年，但是还有不少学者研究人脸检测。此程序是通过邮件从KTH皇家技术学院的Vahid Kazemi要到的。特意共享出来。-Viola Jones Object Detector ，which can finish adaboost face detection
abs
- a new automatic target detection (ATD) algorithm to detect targets such as military targets, vehicle detection, oil storeroom detection. This algorithm uses concentric circles to extract features of object and the features are quasi invariant to tar