搜索资源列表
calibrate
- Object recog robot with the help of which we cant detect the object anywhere.
Face-Detection-and-Tracking---MATLAB-a-Simulink-E
- Object detection and tracking are important in many computer vision applications including activity recognition, automotive saf ety, and surveillance. In this example, you w ill develop a simple f ace tracking system by dividing the tracking probl
Detector
- This program is to detect object by using Ferns algorithm.
tracker_opencv
- This program is to detect object by using mean-shift algorithm.
histogram
- 计算图像的直方图，通过查找表修改图像外观，直方图均衡化，反投影直方图以检测特定的图像内容，实用均值漂移算法查找物体，实用比较直方图检索相似图片-Files: histogram.h histograms.cpp correspond to Recipes: Computing the Image Histogram Applying Look-up Tables to Modify Image Appearance Files: colorhistogra
daoC
- 汽车倒车雷达源代码，主要是自动检测后面障碍物体距离，语言播报最近距离。-Car parking Lei Dayuan code, the main object is to automatically detect the distance behind the barrier, language broadcast closest distance.
code-for-face-detection
- Lets see how to detect face, nose, mouth and eyes using the MATLAB built-in class and function. Based on Viola-Jones face detection algorithm, the computer vision system toolbox contains vision.CascadeObjectDetector System object which detects objec
motion-detection---difrentional-algorithm
- detect motion (only one object) + electrical circuit & PCB.-detect motion (only one object) + electrical circuit & PCB.
BackGroundTest
- 帧间差分法：一种比较简单的目标分割方法，在静态背景下，先通过视频序列建立相应的背景图，然后利用当前图像与背景图像的差分来检测运动区域，并进行膨胀、腐蚀等操作，从而提取出运动目标。-Frame difference method: a relatively simple object segmentation, in the static context, first established by video sequences corresponding background image, an
background-model7
- 针对智能视频监控中运动目标的检测，提出了一种基于字典学习的背景建模方法．结合时空域信息对视频中的每个位置进行字典学习来描述场景信息．利用背景频繁出现的特性，将字典中的词划分成描述背景的词和描述前景的词．用字典表达对应位置的结构，并根据字典中贡献最大词的属性对当前位置进行背景判断．根据判断的结果对字典进行实时更新．在公共的视频数据库上与传统的背景建模方法相比较，所提方法可以较好地检测出前景目标．-Intelligent video surveillance to detect moving tar
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
deepGraspingCode
- 用深度学习做的机械抓取的目标识别，对桌面上的问题进行检测并识别出抓取的区域以及抓取方式-Learning to do with the depth of the object recognition mechanical crawl on the issues on the desktop to detect and identify the areas and crawl crawl way
daoC
- 汽车倒车雷达源代码，主要是自动检测后面障碍物体距离，语言播报最近距离。-Car parking Lei Dayuan code, the main object is to automatically detect the distance behind the barrier, language broadcast closest distance.
Harmat
- HARRIS角点检测算法，算法已修改，经过测试可以运行，对规则图像的检测效果较好，但对模糊对象检测效果不佳，您可以根据需要进行修改。-HARRIS corner detection algorithm, the algorithm has been modified, the test can be run, it was used to detect the image of fuzzy rules, but the object detection results are poor, you
Cpp5
- （1）编写一个程序，创建5 个Loan 对象，将它们写入一个名为Exercise12_6.dat 的文 件中。 （2）假定已经创建了一个名为Exercise12_6.dat 的文件。 编写一个程序，从文件中读取 Loan 对象，并计算总贷款额。假定你不知道文件中保存了多少个 Loan 对象。使用eof（） 来检测文件末尾。-(1) Write a program to create five Loan objects, they are written in a file named
2
- 关于光流法的一些小应用，简单的几个函数检测物体的运动方向灯信息-About optical flow method some small applications, a simple movement of the object in the direction of several functions to detect light information
Bag-Detection
- For security purpose and to detect stationary object in a place such as handbag, suitcase a system is implemented to find the static object if it exists in that place for more than 10 min.
vbexcel
- VB在当前目录生成Excel文件并判断是否重复，运行访问Excel数据目录中的工程时，单击“Excel输出按钮”，便会在当前目录下产生一个veryhuo_com.xls文件。程序将检测 Microsoft Excel。如果 Microsoft Excel 在运行，则将其加入运行对象表。-VB in the current directory to generate the Excel file and determine whether repeated operation, access th
hs_opticalflow
- 基于光流算法的图像分割，能对两帧图像检测出其中运动的物体，并对其进行分割-Image segmentation based on optical flow algorithm, two frames to detect moving object, and carries on the segmentation
finknudem-(2)
- Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and na