Here it is.
You have to give the CAMARA permission to run.
You can test it downloading the app APDE on play store. I’ll take just two minutes.
// Thanks to
// Daniel Shiffman
// http://www.learningprocessing.com
// Code for Android / Ketai by noel
import ketai.camera.*;
KetaiCamera cam;
PImage prevFrame;
float threshold = 50;
void setup() {
size(320, 240);
cam = new KetaiCamera(this, 320, 240, 31);
// cam.setCameraID(1); // If you want the front camara
cam.start();
prevFrame = createImage(cam.width, cam.height, RGB);
}
void onCameraPreviewEvent() {
prevFrame.copy(cam, 0, 0, cam.width, cam.height, 0, 0, cam.width, cam.height);
prevFrame.updatePixels();
cam.read();
}
void draw() {
background(255);
// You don't need to display it to analyze it!
image(cam, 0, 0);
cam.loadPixels();
prevFrame.loadPixels();
// Start with a total of 0
// These are the variables we'll need to find the average X and Y
float sumX = 0;
float sumY = 0;
int motionCount = 0;
// Begin loop to walk through every pixel
for (int x = 0; x < cam.width; x++ ) {
for (int y = 0; y < cam.height; y++ ) {
// What is the current color
color current = cam.pixels[x+y*cam.width];
// What is the previous color
color previous = prevFrame.pixels[x+y*cam.width];
// Step 4, compare colors (previous vs. current)
float r1 = red(current);
float g1 = green(current);
float b1 = blue(current);
float r2 = red(previous);
float g2 = green(previous);
float b2 = blue(previous);
// Motion for an individual pixel is the difference between the previous color and current color.
float diff = dist(r1, g1, b1, r2, g2, b2);
// If it's a motion pixel add up the x's and the y's
if (diff > threshold) {
sumX += x;
sumY += y;
motionCount++;
}
}
}
// average location is total location divided by the number of motion pixels.
float avgX = sumX / motionCount;
float avgY = sumY / motionCount;
// Draw a circle based on average motion
smooth();
noStroke();
fill(255);
ellipse(avgX, avgY, 16, 16);
}