如何使用openCV检测实时摄像机中的运动物体

Question

我正在使用openCV为我的ios应用程序检测实时摄像机中的移动物体,但我不熟悉openCV的使用请帮助我.任何其他方式也欢迎.

- (void)viewDidLoad {
    [super viewDidLoad];

    self.videoCamera.delegate = self;
    self.videoCamera = [[CvVideoCamera alloc] initWithParentView:self.view];

    self.videoCamera.defaultAVCaptureDevicePosition = AVCaptureDevicePositionBack;
    self.videoCamera.defaultAVCaptureSessionPreset = AVCaptureSessionPreset352x288;
    self.videoCamera.defaultAVCaptureVideoOrientation = AVCaptureVideoOrientationPortrait;
    self.videoCamera.defaultFPS = 30;
    self.videoCamera.grayscaleMode = NO;
    [self.videoCamera start];
//    cv::BackgroundSubtractorMOG2 bg;

}
- (void)processImage:(cv::Mat&)image
{
    //process here
    cv::cvtColor(image, img, cv::COLOR_BGRA2RGB);
    int fixedWidth = 270;
    cv::resize(img, img, cv::Size(fixedWidth,(int)((fixedWidth*1.0f)*   (image.rows/(image.cols*1.0f)))),cv::INTER_NEAREST);

    //update the model
   bg_model->operator()(img, fgmask, update_bg_model ? -1 : 0);


    GaussianBlur(fgmask, fgmask, cv::Size(7, 7), 2.5, 2.5);
    threshold(fgmask, fgmask, 10, 255, cv::THRESH_BINARY);

    image = cv::Scalar::all(0);
    img.copyTo(image, fgmask);
}

我是openCV的新手,所以我不知道该怎么办.

Answer 1

将此代码添加到processImage委托:

- (void)processImage:(cv::Mat&)image
{
      //process here
      cv::cvtColor(image, img, cv::COLOR_BGRA2RGB);
      int fixedWidth = 270;
     cv::resize(img, img, cv::Size(fixedWidth,(int)((fixedWidth*1.0f)*   (image.rows/(image.cols*1.0f)))),cv::INTER_NEAREST);

    //update the model
    bg_model->apply(img, fgmask, update_bg_model ? -1 : 0);

    GaussianBlur(fgmask, fgmask, cv::Size(7, 7), 2.5, 2.5);
    threshold(fgmask, fgmask, 10, 255, cv::THRESH_BINARY);

    image = cv::Scalar::all(0);
    img.copyTo(image, fgmask);
}

您需要将以下声明为全局变量

cv::Mat img, fgmask;
cv::Ptr<cv::BackgroundSubtractor> bg_model;
bool update_bg_model;
Where, img <- smaller image fgmask <- the mask denotes that where motion is happening update_bg_model <- if you want to fixed your background;

有关详细信息,请参阅此URL.