opencv rectangle detection

OpenCV Read the image sequence for hog pedestrian detection and saved as a video http://blog.csdn.net/masibuaa/article/details/160844672013-11-13 21:42 4273 People read comments (17) Collection Report Category: Computer Vision (OpenCV) Hog target detection (7) Copyright NOTICE: This article is the original article of

=59244hilit=tbb_debug.dll#p59244 , follow the URL given in the forum, download a TBB package, unzip Tbb_debug.dll to D:\Program FILES\OPENCV\BUILD\COMMON\TBB\IA32\VC10 (this is my installation directory). Error 3.Haha, the end of the code more than a}, delete it is good.Error 4.The compilation has passed smoothly, and now a debugging will findVery simply, the routines are estimated to run main () with CMD, and the parameters are tapped into the comma

Pure reading, please visit OPENCV using the Harris Algorithm for corner detectionSourceKqwopencvfeaturesdemoA corner point is an intersection of two edges or a point that has several significant edge orientations in a local neighborhood. Harris Corner Point Detection is one of the most common techniques in corner detection.The Harris corner detector uses a sliding window on the image to calculate the bright

Opencv provides the pedestrain detection class. CV: definitions of parameters of the hogdescriptor class constructor: Cv_wrap hogdescriptor (): winsize (64,128), // detect window blocksize (16, 16), // block size blockstride (8, 8), // Slide Step cellsize (8, 8) of overlap block ), // cell size nbins (9), // Number of bin in the histogram derivaperture (1), // winsigma (-1 ), // perform Gaussian weighted

Use the opencv functions surffeaturedetector and detect to detect interest points; Use the opencv function drawkeypoints to draw the detection key points. /** * @file SURF_detector * @brief SURF keypoint detection + keypoint drawing with OpenCV functions * @author A. Huaman

Detection code is as follows:#encoding: Utf-8##Sobel边缘检测#Import NumPy as Npimport cv2image = Cv2. Imread("H:\\img\\lena.jpg") image = Cv2. Cvtcolor(Image,cv2. COLOR_bgr2gray)#将图像转化为灰度图像Cv2. Imshow("Original", image) Cv2. Waitkey()#Sobel边缘检测Sobelx = Cv2. Sobel(Image,cv2. CV_64f,1,0)#x方向的梯度sobely = Cv2. Sobel(Image,cv2. CV_64f,0,1)#y方向的梯度SOBELX = NP. UINT8 (NP. Absolute(SOBELX))#x方向梯度的绝对值sobely = NP. UINT8 (NP. Absolute(sobely))#y方向梯度的绝对值sobelcombined

implemented 1> use the OPENCV library package of the Hough Line detection function, in the original map corresponding area with the red line to trace the lane line 2> write a line detection, in the header file, traverse the ROI region for a specific angle range of line detection. Both methods can be reflected in the v

These days, we 've been stuck in the fast, surf, shift, brief, and ORB feature detection algorithms !!! All labs are in the previous blog. Opencv has already implemented them, so we will use opencv to test the effects of various methods, My original intention was match. The feature points detected by fast could not be extracted from descriptor !!! However, it is

Original address: opencv for iOS Study Notes (10)-mark detection Summary If you keep following our tutorial, you can run the program as follows: Even if we do not use a three-dimensional rendering engine for visualization, we have obtained all the necessary data. Let's sum up what we get: 1. One frame from the bgra format of the camera 2. Correctly used as the pivot projection matrix for Ar Scene Re

The first two posts introduced the image edge detection and contour detection respectively, this paper describes the image contour detection and contour of the external rectangle: One, the Code section: Extract_contours.cpp: Defines the entry point for a console application. #include "stdafx.h" #include Second, the p

Sub-pixel angular point detection targetIn this tutorial we will cover the following: Use the OPENCV function Cornersubpix to find a more precise corner position (not a position of the integer type, but a more precise floating-point type position). Theoretical codeThe code for this tutorial is shown below. The source code can also be downloaded from this link#include "opencv2/highgui/highgui.h

Opencv 2.4 implements the DPM program in C ++. The main difference between it and the previous C version is that it can detect multiple targets at the same time. During use, you can put the trained model in a folder, and put the image to be detected in another folder for detection. Unfortunately, the accelerated content is not considered. Latent SVM regression ¶ Discriminatively trained Part Based Models f

//sort function to sort data in ascending order -Sort (Matches.begin (), Matches.end ());//Filter matching points, according to match inside the distance from the characteristics of the order from small to large thevectorgood_matches; + intPtspairs = Std::min ( -, (int) (Matches.size () *0.15)); Acout Endl; the for(inti =0; i ) + { -Good_matches.push_back (Matches[i]);//50 of the minimum distance to press into the new Dmatch $ } $Ma

OPENCV Learning---moving target (foreground) detection 1. Frame Difference method Principle: The video sequence uses pixel-based time difference between two frames or three frames, and the motion region of the image is extracted by the closed-value. Advantages: The algorithm is simple, the computational amount is small, the training background is not necessary, and the light is n

Recently, some OPENCV-based target detection algorithms have been researched, and today is the first day.First download a simple online video of the movement of the two-value display of the code to learn, the following is my understanding, beginners will make a number of mistakes hope that everyone to correct.#include #include "cxcore.h"#include intMainintargc,unsignedChar*argv[]) {　　cvcapture* capture = Cv

Common Methods for moving object detection include optical flow, background subtraction, and frame difference ). The Background Subtraction Method and the interframe difference method are suitable for static cameras, while the optical flow method is used for camera motion, but the calculation is relatively large. The following describes how to use the cvupdatemotionhistory function in opencv to detect motio

transformation matrix. And the online about findhomography introduction is relatively few, so will let people misunderstand findfundamentalmat will calculate the transformation matrix.Try to return the matrix with the Findhomography function, in the template image, the object is already marked with a green box outline, according to the object's four boundary points, and the transformation matrix, you can get the transformed object contour of the four boundary points, the boundary point is conne

Recently, I started to learn opencv and made a small application using the self-developed opencv algorithm. I suddenly felt the wonders of computer vision.The procedure is as follows:1. Open the camera 2. Video Edge Detection 3. output the detected edge The program provides two slide bars. You can change the threshold value to observe the effect based on the actu

Original address: opencv for iOS Study Notes (6)-mark detection 3 Precise marking position // Adjust the posture of the tag Based on the camera rotation. // marker: the captured tag STD: Rotate (marker. points. begin (), marker. points. begin () + 4-nrotations, marker. points. end ()); After the tags are captured and filtered Based on the tag encoding, we should redefine their corners. This step helps est

, as well as the function Cvsettrackbarpos () to reset the display position of the trackbar. function Function: The callback function used by the Cvcreatetrackbar () functionfunction Definition:typedef void (CV_CDECL *cvtrackbarcallback) (int pos)function Description:when the trackbar position is changed, the system calls the callback function and sets the parameter pos to the value representing the trackbar position. #include"stdafx.h"#include"iostream"using namespacestd; #include"opencv2/openc