OpenCV and Processing 16

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This example continues from the last post to compute the optical flow between 2 greyscale images by using the calcOpticalFlowPyrLK() function in the Video module herunterladen. The new position of the pixels tracked will be delivered in a MatOfPoint2f object. By using the last and current position of the feature points, we can plot the path of the pixel movements windows 10 mail nachricht und bilder herunterladen. Furthermore, we can use such information for interactive or generative drawings, found in my artwork, Movement in Time.

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OpenCV and Processing 15

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The coming example will be the sparse optical flow. Before that, we first work on the 2D feature points tracking. The function goodFeaturesToTrack() belongs to the Imgproc module film for free. It takes in a greyscale image and identifies the feature points (corners) as a matrix of point, MatOfPoint. The sample code here uses the feature points to render a live graphics of the webcam image animierte bilder herunterladen.

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OpenCV and Processing 14

This example continues to explore the Video module in OpenCV. It uses one of the BackgroundSubtractors, the BackgroundSubtractorKNN. It learns the motion in front of the camera and treats the stationary scene as background cad program free mac download.

In the code, the important command is

bkg.apply(frame, fgmask);

The subtractor object bkg takes in the latest frame and generates a foreground mask, fgmask fut draft 20. We can use the foreground mask to single out the foreground moving object.

Here are a number of screen shots from the testing. The background is the planet Earth image from NASA musik von youtube herunterladen firefox.

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OpenCV and Processing 13

In this example, we move on to the Video module of OpenCV 3.0.0. The first function we test is the Dense Optical Flow. It demonstrates the use of the calcOpticalFlowFarneback function http // downloaden. Again it makes use of the previous CVImage object to bridge between the Processing PImage and OpenCV Mat adobe photoshop cs2 nederlands gratisen. The example also reduces the size of the video (using the variable factor) before sending it for the optical flow processing; otherwise, the process can be lengthy herunterladen.

The optical flow process will basically compare two consecutive frames (the Mat last and grey) from the live webcam video. It will try to compute where the current pixels move to in the new frame albums kostenlosen.

Here are a number of screen shots from the sample run.

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