我寻找执行人体运动跟踪，也讨论了在多个移动体检测利用差分分析和卢卡斯Kanade光方法从几个视频帧提取。
我发现的科学论文，发现我们不得不使用连接成分过滤连接部件的连续运动跟踪，但我不知道如何去了解这个过程。 所有我需要的是骨架轨迹与人的步态运动的坐标。
我在OpenCV中和C ++的工作，但对物体检测OpenCV的文档不会在我的情况就足够了。 我是从医学背景和需要，这是一个儿科医生项目的一部分。
我发现这个代码， 移动侦测 ，并试图执行它（不要不知道，如果它检测和跟踪运动，还）。 然而，它会返回这些错误，我感到困惑的错误是琐碎和其他意见提到，他们都能够运行该代码。 但我不能缓解这些错误回报我也不能明白其中的道理对他们存在的。 我使用OpenCv2.3和以下是错误
- 无法打开surce stdafx.h文件
- 警告C4996：“的fopen”：此函数或变量可能是不安全的。 考虑使用fopen_s代替。 要禁用弃用，使用_CRT_SECURE_NO_WARNINGS。 详细信息请参见在线帮助。
- 错误C2086： 'CvSize imgSize'：重新定义
- 错误C2065：温度：未声明的标识符
- 错误C4430：缺少类型说明符 - 假定为int。 注意：C ++不支持默认int
- 错误C2365： 'cvReleaseImage'：重新定义; 以前的定义是 '功能' 1> C：\ opencv2.3 \的OpenCV \建立\包括\ opencv2 \芯\ core_c.h（87）：见 'cvReleaseImage' 的声明
- 错误C2065：差：未声明的标识符
- 错误C4430：缺少类型说明符 - 假定为int。 注意：C ++不支持默认int
- 错误C2365： 'cvReleaseImage'：重新定义; 以前的定义是 '功能' 1> C：\ opencv2.3 \的OpenCV \建立\包括\ opencv2 \芯\ core_c.h（87）：见 'cvReleaseImage' 的声明
- 错误C2065：greyImage'：未声明的标识符
- 错误C4430：缺少类型说明符 - 假定为int。 注意：C ++不支持默认int
- 错误C2365： 'cvReleaseImage'：重新定义; 以前的定义是“功能”
- \ opencv2.3 \的OpenCV \建立\包括\ opencv2 \芯\ core_c.h（87）：见 'cvReleaseImage' 错误C2065声明： 'movingAverage'：未声明的标识符C4430 -error：缺少类型说明 - 假定为int。 注意：C ++不支持默认int - 错误C2365： 'cvReleaseImage'：重新定义; 以前的定义是 '功能' -1> C：\ opencv2.3 \的OpenCV \建立\包括\ opencv2 \芯\ core_c.h（87）：见C4430 -error 'cvReleaseImage' 的声明：缺少类型说明 - 假定为int。 注意：C ++不支持默认int - 错误C2365： 'cvDestroyWindow'：重新定义; 以前的定义是“功能”
- C：\ opencv2.3 \的OpenCV \建立\包括\ opencv2 \ highgui \ highgui_c.h（136）：见 'cvDestroyWindow' 的声明
- 错误C2440：初始化：不能从“为const char [10]”到“INT”转换-1>没有上下文，其中该转换是可能的-error C2065：输入：未声明的标识符-error C4430：缺少类型符 - 假定为int。 注意：C ++不支持默认int
- 错误C2365： 'cvReleaseCapture'：重新定义; 以前的定义是 '功能' -1> C：\ opencv2.3 \的OpenCV \建立\包括\ opencv2 \ highgui \ highgui_c.h（311）：见 'cvReleaseCapture' -error C2065的声明： 'outputMovie'：未声明的标识符
- 错误C4430：缺少类型说明符 - 假定为int。 注意：C ++不支持默认int - 错误C2365： 'cvReleaseVideoWriter'：重新定义; 以前的定义是 '功能' -1 C：\ opencv2.3 \ OpenCV的\建设\包括\ opencv2 \ highgui \ highgui_c.h（436）：看 'cvReleaseVideoWriter' 的声明 - 错误C2059：语法错误： '回报' == ========编译：0成功，1失败，0上最新，0已跳过==========
码
// MotionDetection.cpp : Defines the entry point for the console application.
//
// Contourold.cpp : Defines the entry point for the console application.
//
#include "stdafx.h"
#include "iostream"
#include "stdlib.h"
// OpenCV includes.
#include "cv.h"
#include "highgui.h"
#pragma comment(lib,"cv.lib")
#pragma comment(lib,"cxcore.lib")
#pragma comment(lib,"highgui.lib")
using namespace std;
int main(int argc, char* argv[])
{
//Create a new window.
cvNamedWindow("My Window", CV_WINDOW_AUTOSIZE);
//Create a new movie capture object.
CvCapture *input;
//Assign the movie to capture.
//inputMovie = cvCaptureFromAVI("vinoth.avi");
char *fileName = "E:\\highway.avi";
//char *fileName = "D:\\Profile\\AVI\\cardriving.wmv";
input = cvCaptureFromFile(fileName);
//if (!input)
//cout << "Can't open file" << fileName < ;
//Size of the image.
CvSize imgSize;
IplImage* frame = cvQueryFrame(input);
CvSize imgSize = cvGetSize(frame);
//Images to use in the program.
IplImage* greyImage = cvCreateImage( imgSize, IPL_DEPTH_8U, 1);
IplImage* colourImage;
IplImage* movingAverage = cvCreateImage( imgSize, IPL_DEPTH_32F, 3);
IplImage* difference;
IplImage* temp;
IplImage* motionHistory = cvCreateImage( imgSize, IPL_DEPTH_8U, 3);
//Rectangle to use to put around the people.
CvRect bndRect = cvRect(0,0,0,0);
//Points for the edges of the rectangle.
CvPoint pt1, pt2;
//Create a font object.
CvFont font;
//Create video to output to.
char* outFilename = argc==2 ? argv[1] : "E:\\outputMovie.avi";
CvVideoWriter* outputMovie = cvCreateVideoWriter(outFilename,
CV_FOURCC('F', 'L', 'V', 'I'), 29.97, cvSize(720, 576));
//Capture the movie frame by frame.
int prevX = 0;
int numPeople = 0;
//Buffer to save the number of people when converting the integer
//to a string.
char wow[65];
//The midpoint X position of the rectangle surrounding the moving objects.
int avgX = 0;
//Indicates whether this is the first time in the loop of frames.
bool first = true;
//Indicates the contour which was closest to the left boundary before the object
//entered the region between the buildings.
int closestToLeft = 0;
//Same as above, but for the right.
int closestToRight = 320;
//Keep processing frames...
for(;;)
{
//Get a frame from the input video.
colourImage = cvQueryFrame(input);
//If there are no more frames, jump out of the for.
if( !colourImage )
{
break;
}
//If this is the first time, initialize the images.
if(first)
{
difference = cvCloneImage(colourImage);
temp = cvCloneImage(colourImage);
cvConvertScale(colourImage, movingAverage, 1.0, 0.0);
first = false;
}
//else, make a running average of the motion.
else
{
cvRunningAvg(colourImage, movingAverage, 0.020, NULL);
}
//Convert the scale of the moving average.
cvConvertScale(movingAverage,temp, 1.0, 0.0);
//Minus the current frame from the moving average.
cvAbsDiff(colourImage,temp,difference);
//Convert the image to grayscale.
cvCvtColor(difference,greyImage,CV_RGB2GRAY);
//Convert the image to black and white.
cvThreshold(greyImage, greyImage, 70, 255, CV_THRESH_BINARY);
//Dilate and erode to get people blobs
cvDilate(greyImage, greyImage, 0, 18);
cvErode(greyImage, greyImage, 0, 10);
//Find the contours of the moving images in the frame.
CvMemStorage* storage = cvCreateMemStorage(0);
CvSeq* contour = 0;
cvFindContours( greyImage, storage, &contour, sizeof(CvContour), CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE );
//Process each moving contour in the current frame...
for( ; contour != 0; contour = contour->h_next )
{
//Get a bounding rectangle around the moving object.
bndRect = cvBoundingRect(contour, 0);
pt1.x = bndRect.x;
pt1.y = bndRect.y;
pt2.x = bndRect.x + bndRect.width;
pt2.y = bndRect.y + bndRect.height;
//Get an average X position of the moving contour.
avgX = (pt1.x + pt2.x) / 2;
//If the contour is within the edges of the building...
if(avgX > 90 && avgX < 250)
{
//If the the previous contour was within 2 of the left boundary...
if(closestToLeft >= 88 && closestToLeft <= 90)
{
//If the current X position is greater than the previous...
if(avgX > prevX)
{
//Increase the number of people.
numPeople++;
//Reset the closest object to the left indicator.
closestToLeft = 0;
}
}
//else if the previous contour was within 2 of the right boundary...
else if(closestToRight >= 250 && closestToRight <= 252)
{
//If the current X position is less than the previous...
if(avgX < prevX)
{
//Increase the number of people.
numPeople++;
//Reset the closest object to the right counter.
closestToRight = 320;
}
}
//Draw the bounding rectangle around the moving object.
cvRectangle(colourImage, pt1, pt2, CV_RGB(255,0,0), 1);
}
//If the current object is closer to the left boundary but still not across
//it, then change the closest to the left counter to this value.
if(avgX > closestToLeft && avgX <= 90)
{
closestToLeft = avgX;
}
//If the current object is closer to the right boundary but still not across
//it, then change the closest to the right counter to this value.
if(avgX < closestToRight && avgX >= 250)
{
closestToRight = avgX;
}
//Save the current X value to use as the previous in the next iteration.
prevX = avgX;
}
//Save the current X value to use as the previous in the next iteration.
prevX = avgX;
}
//Write the number of people counted at the top of the output frame.
cvInitFont(&font, CV_FONT_HERSHEY_SIMPLEX, 0.8, 0.8, 0, 2);
cvPutText(colourImage, _itoa(numPeople, wow, 10), cvPoint(60, 200), &font, cvScalar(0, 0, 300));
//Show the frame.
cvShowImage("My Window", colourImage);
//Wait for the user to see it.
cvWaitKey(10);
//Write the frame to the output movie.
cvWriteFrame(outputMovie, colourImage);
}
// Destroy the image, movies, and window.
cvReleaseImage(&temp);
cvReleaseImage(&difference);
cvReleaseImage(&greyImage);
cvReleaseImage(&movingAverage);
cvDestroyWindow("My Window");
cvReleaseCapture(&input);
cvReleaseVideoWriter(&outputMovie);
return 0;
}
- 请帮助解决这些错误和问题。
- 如何做运动（人）追踪其可能是通过骨架方法返回轨迹的坐标。
