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@@ -1,6 +1,7 @@
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package com.example.ueberwachungssystem.Detection;
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import android.Manifest;
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import android.annotation.SuppressLint;
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import android.app.Activity;
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import android.content.Context;
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import android.content.pm.PackageManager;
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@@ -9,13 +10,17 @@ import android.graphics.ImageFormat;
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import android.media.Image;
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import android.os.CountDownTimer;
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import android.util.Log;
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import android.view.Surface;
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import android.widget.ImageView;
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import android.widget.Toast;
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import androidx.annotation.NonNull;
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import androidx.annotation.Nullable;
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import androidx.camera.core.CameraSelector;
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import androidx.camera.core.ExperimentalGetImage;
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import androidx.camera.core.ImageAnalysis;
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import androidx.camera.core.Preview;
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import androidx.camera.core.VideoCapture;
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import androidx.camera.lifecycle.ProcessCameraProvider;
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import androidx.core.app.ActivityCompat;
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import androidx.core.content.ContextCompat;
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@@ -33,6 +38,7 @@ import org.opencv.core.Scalar;
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import org.opencv.core.Size;
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import org.opencv.imgproc.Imgproc;
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import java.io.File;
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import java.nio.ByteBuffer;
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import java.util.ArrayList;
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import java.util.Collections;
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@@ -52,58 +58,56 @@ public class VideoDetector extends Detector {
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// Calling Activity
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private final Context context;
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// Permission handling
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private static final int CAMERA_PERMISSION_REQUEST_CODE = 3691;
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// Camera Provider
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private ProcessCameraProvider cameraProvider;
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private final ImageAnalysis imageAnalysis;
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private final VideoCapture videoCapture;
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// Logic
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private boolean isDetectionRunning = false;
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private boolean allowReportViolation = false;
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// Image Processing
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private Mat previousImage = null;
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// Debugging
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private Mat previousImage = null;
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public ImageView imageView1 = null;
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public ImageView imageView2 = null;
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private ImageView inputImageView = null;
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private ImageView outputImageView = null;
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// Parameters
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private static final float ALARM_THRESHOLD = 0.5f; // Percent of pixels changed
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private static final long START_DELAY = 1000; // milliseconds
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private static final long START_DELAY = 5000; // milliseconds
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private static final android.util.Size IMAGE_RES = new android.util.Size(640, 480);
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/**
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* Constructor
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* @param context: the context of calling activity (usually "this")
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* */
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/** Constructor */
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public VideoDetector(Context context) {
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super();
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this.context = context;
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this.imageAnalysis = setupImageAnalysis();
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this.videoCapture = setupVideoCapture();
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}
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/**
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* Get State of the Detector
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*/
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/** Get State of the Detector */
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public boolean isRunning() {
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return isDetectionRunning;
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}
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/**
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* Starts the Video Detection
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* */
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/** Starts the Video Detection */
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@Override
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public void startDetection() {
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// Check States
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if (isDetectionRunning)
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return;
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if (!isCameraAccessAllowed()){
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if (!isCameraAccessAllowed()) {
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getCameraAccess();
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}
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// Open CV startup check
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if (!OpenCVLoader.initDebug()) {
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Log.e("OpenCV", "Unable to load OpenCV!");
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@@ -111,35 +115,31 @@ public class VideoDetector extends Detector {
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} else
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Log.d("OpenCV", "OpenCV loaded Successfully!");
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// Request Camera Provider
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final ListenableFuture<ProcessCameraProvider> cameraProviderFuture = ProcessCameraProvider.getInstance(context);
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//Check for Camera availability
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cameraProviderFuture.addListener(() -> {
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try {
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cameraProvider = cameraProviderFuture.get();
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bindAnalysis(cameraProvider);
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bindCameraProvider(cameraProvider);
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isDetectionRunning = true;
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} catch (ExecutionException | InterruptedException e) {
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// No errors need to be handled for this Future. This should never be reached.
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}
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},ContextCompat.getMainExecutor(context));
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}, ContextCompat.getMainExecutor(context));
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}
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/**
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* Stops the Video Detection
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* */
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/** Stops the Video Detection */
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@Override
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public void stopDetection() {
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if (!isDetectionRunning)
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if (!isDetectionRunning || imageAnalysis == null)
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return;
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cameraProvider.unbindAll();
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cameraProvider.unbind(imageAnalysis);
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isDetectionRunning = false;
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allowReportViolation = false;
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}
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/**
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* Permission handling
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*/
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/** Permission handling */
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private boolean isCameraAccessAllowed() {
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return ContextCompat.checkSelfPermission(context, Manifest.permission.CAMERA) == PackageManager.PERMISSION_GRANTED;
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}
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@@ -150,70 +150,88 @@ public class VideoDetector extends Detector {
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}
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/**
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* Binds the Luminosity Analyzer (configure and run Analysis)
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* @param cameraProvider: CameraProvider of Context passed by Constructor
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* */
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private void bindAnalysis(@NonNull ProcessCameraProvider cameraProvider) {
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/** Binds the Luminosity Analyzer (configure and run Analysis) */
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private void bindCameraProvider(@NonNull ProcessCameraProvider cameraProvider) {
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// Create Preview
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//Preview preview = new Preview.Builder().build();
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// Specify which Camera to use
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CameraSelector cameraSelector = new CameraSelector.Builder().requireLensFacing(CameraSelector.LENS_FACING_BACK).build();
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cameraProvider.bindToLifecycle((LifecycleOwner) context, cameraSelector, imageAnalysis);
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// Delay till violation is allowed
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startViolationTimer();
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}
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/** Start delay until Violation Report is allowed */
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private void startViolationTimer() {
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new CountDownTimer((long) (START_DELAY), 100) {
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@Override
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public void onTick(long millisUntilFinished) {
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}
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@Override
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public void onFinish() {
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allowReportViolation = true;
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}
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}.start();
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}
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private ImageAnalysis setupImageAnalysis() {
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// Configure and create Image Analysis
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ImageAnalysis.Builder builder = new ImageAnalysis.Builder();
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builder.setTargetResolution(IMAGE_RES);
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builder.setBackpressureStrategy(ImageAnalysis.STRATEGY_KEEP_ONLY_LATEST);
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builder.setOutputImageFormat(ImageAnalysis.OUTPUT_IMAGE_FORMAT_YUV_420_888);
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ImageAnalysis imageAnalysis = builder.build();
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// Set Analyzer
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imageAnalysis.setAnalyzer(ContextCompat.getMainExecutor(context), imageProxy -> {
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if (imageProxy.getFormat() == ImageFormat.YUV_420_888) {
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Image image = imageProxy.getImage();
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assert image != null;
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Mat currentMat = extractYChannel(image);
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Mat mat = currentMat.clone();
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debugMat(mat, imageView2);
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Mat processed = processImage(mat);
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debugMat(processed, imageView1);
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int n = countNonZeroPixels(processed);
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// Violation Handling
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Mat processed = processImage(image);
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int n = OpenCVHelper.countNonZeroPixels(processed);
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int pixelCount = image.getWidth() * image.getHeight();
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float percentChanged = (float)n / pixelCount;
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// report violation
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if (percentChanged * 100 > ALARM_THRESHOLD) {
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reportViolation("Video", n);
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float percentChanged = (float) n / pixelCount;
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// Violation Condition
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if (percentChanged * 100 > ALARM_THRESHOLD) {
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if (allowReportViolation)
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reportViolation("Video", n);
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}
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}
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imageProxy.close();
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});
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// Create Preview
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Preview preview = new Preview.Builder().build();
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// Specify which Camera to use
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CameraSelector cameraSelector = new CameraSelector.Builder().requireLensFacing(CameraSelector.LENS_FACING_BACK).build();
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// Delay till start
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new CountDownTimer((long)(START_DELAY), 100){
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@Override
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public void onTick(long millisUntilFinished) {}
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@Override
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public void onFinish() {
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cameraProvider.bindToLifecycle((LifecycleOwner) context, cameraSelector, imageAnalysis, preview);
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}
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}.start();
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return imageAnalysis;
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}
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@SuppressLint("RestrictedApi")
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private VideoCapture setupVideoCapture() {
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return new VideoCapture.Builder()
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.setVideoFrameRate(30)
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.setTargetRotation(Surface.ROTATION_0)
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.build();
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}
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/**
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* Process Image to be used for Motion Detection
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*
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* @param image: OpenCV Mat file that should be processed
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*/
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private Mat processImage(Mat image){
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/** Process Image to be used for Motion Detection */
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private Mat processImage(Image image){
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// Image Transformation
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Mat imageMat = OpenCVHelper.extractYChannel(image);
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// Show Input Image
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if (inputImageView != null)
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OpenCVHelper.debugMat(imageMat, inputImageView);
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// Preprocess Image
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Mat preprocessed = image.clone();
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preprocessed = addGaussianBlur(preprocessed, new Size(21, 21));
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preprocessed = addBlur(preprocessed, new Size(3, 3));
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Mat preprocessed = imageMat;
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preprocessed = OpenCVHelper.addGaussianBlur(preprocessed, new Size(21, 21));
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preprocessed = OpenCVHelper.addBlur(preprocessed, new Size(3, 3));
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if (previousImage == null) {
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previousImage = preprocessed;
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@@ -222,91 +240,111 @@ public class VideoDetector extends Detector {
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// Process Image
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Mat processed = preprocessed.clone();
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processed = thresholdPixels(processed, previousImage, 25);
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processed = dilateBinaryMat(processed, new Size(3,3));
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processed = dilateBinaryMat(processed, new Size(3,3));
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processed = thresholdContourArea(processed, 500);
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processed = OpenCVHelper.thresholdPixels(processed, previousImage, 25);
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processed = OpenCVHelper.dilateBinaryMat(processed, new Size(3,3));
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processed = OpenCVHelper.dilateBinaryMat(processed, new Size(3,3));
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processed = OpenCVHelper.thresholdContourArea(processed, 500);
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// Output
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previousImage = preprocessed.clone();
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// Show Output Image
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if (outputImageView != null)
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OpenCVHelper.debugMat(processed, outputImageView);
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return processed;
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}
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/** OpenCV helper methods **/
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private Mat addGaussianBlur(Mat inputMat, Size kernelSize){
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Mat outputMat = new Mat();
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Imgproc.GaussianBlur(inputMat, outputMat, kernelSize, 0);
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return outputMat;
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public void debugProcessing(ImageView inputImageView, ImageView outputImageView){
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this.inputImageView = inputImageView;
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this.outputImageView = outputImageView;
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}
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private Mat addBlur(Mat inputMat, Size kernelSize){
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Mat outputMat = new Mat();
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Imgproc.blur(inputMat, outputMat, kernelSize);
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return outputMat;
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}
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private Mat extractYChannel(@NonNull Image img) {
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ByteBuffer yBuffer = img.getPlanes()[0].getBuffer();
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byte[] yData = new byte[yBuffer.remaining()];
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yBuffer.get(yData);
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Mat yMat = new Mat(img.getHeight(), img.getWidth(), CvType.CV_8UC1);
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yMat.put(0, 0, yData);
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return yMat;
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}
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private Mat thresholdPixels(Mat inputMat, Mat previousImage, int threshold){
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Mat diffImage = new Mat();
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Core.absdiff(inputMat, previousImage, diffImage);
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Mat binaryMat = new Mat();
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Imgproc.threshold(diffImage, binaryMat, threshold, 255, Imgproc.THRESH_BINARY);
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return binaryMat;
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}
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private Mat thresholdContourArea(Mat inputMat, float areaThreshold){
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List<MatOfPoint> contours = new ArrayList<>();
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Mat hierarchy = new Mat();
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Imgproc.findContours(inputMat, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
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Mat outputMat = new Mat(inputMat.size(), inputMat.type(), new Scalar(0));
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// Iterate over the contours and draw only the larger contours on the outputMat
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for (MatOfPoint contour : contours) {
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double contourArea = Imgproc.contourArea(contour);
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if (contourArea > areaThreshold) {
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Imgproc.drawContours(outputMat, Collections.singletonList(contour), 0, new Scalar(255), -1);
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}
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private static class OpenCVHelper{
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private OpenCVHelper() {}
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/** OpenCV helper methods **/
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private static Mat addGaussianBlur(Mat inputMat, Size kernelSize){
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Mat outputMat = new Mat();
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Imgproc.GaussianBlur(inputMat, outputMat, kernelSize, 0);
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return outputMat;
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}
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// Apply the outputMat as a mask to the dilatedImage
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Mat maskedImage = new Mat();
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inputMat.copyTo(maskedImage, outputMat);
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return outputMat;
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}
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private Mat dilateBinaryMat(Mat inputMat, Size kernelSize){
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Mat dilatedMat = new Mat();
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Mat kernel = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, kernelSize);
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Imgproc.dilate(inputMat, dilatedMat, kernel);
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return dilatedMat;
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}
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private static Mat addBlur(Mat inputMat, Size kernelSize){
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Mat outputMat = new Mat();
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Imgproc.blur(inputMat, outputMat, kernelSize);
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return outputMat;
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}
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private int countNonZeroPixels(Mat inputImage) {
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if (inputImage != null)
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return Core.countNonZero(inputImage);
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else
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return 0;
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}
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private static Mat extractYChannel(@NonNull Image img) {
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ByteBuffer yBuffer = img.getPlanes()[0].getBuffer();
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byte[] yData = new byte[yBuffer.remaining()];
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yBuffer.get(yData);
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Mat yMat = new Mat(img.getHeight(), img.getWidth(), CvType.CV_8UC1);
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yMat.put(0, 0, yData);
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return yMat;
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}
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private static Mat thresholdPixels(Mat inputMat, Mat previousImage, int threshold){
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Mat diffImage = new Mat();
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Core.absdiff(inputMat, previousImage, diffImage);
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Mat binaryMat = new Mat();
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Imgproc.threshold(diffImage, binaryMat, threshold, 255, Imgproc.THRESH_BINARY);
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return binaryMat;
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}
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private static Mat thresholdContourArea(Mat inputMat, float areaThreshold){
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List<MatOfPoint> contours = new ArrayList<>();
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Mat hierarchy = new Mat();
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Imgproc.findContours(inputMat, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
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Mat outputMat = new Mat(inputMat.size(), inputMat.type(), new Scalar(0));
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// Iterate over the contours and draw only the larger contours on the outputMat
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for (MatOfPoint contour : contours) {
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double contourArea = Imgproc.contourArea(contour);
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if (contourArea > areaThreshold) {
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Imgproc.drawContours(outputMat, Collections.singletonList(contour), 0, new Scalar(255), -1);
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}
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}
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// Apply the outputMat as a mask to the dilatedImage
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Mat maskedImage = new Mat();
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inputMat.copyTo(maskedImage, outputMat);
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return outputMat;
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}
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private static Mat dilateBinaryMat(Mat inputMat, Size kernelSize){
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Mat dilatedMat = new Mat();
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Mat kernel = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, kernelSize);
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Imgproc.dilate(inputMat, dilatedMat, kernel);
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return dilatedMat;
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}
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private static int countNonZeroPixels(Mat inputImage) {
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if (inputImage != null)
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return Core.countNonZero(inputImage);
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else
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return 0;
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}
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private static void debugMat(Mat mat, ImageView imageView) {
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if (imageView == null || mat == null)
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return;
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private void debugMat(Mat mat, ImageView imageView) {
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|
if (imageView == null || mat == null)
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return;
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Bitmap bitmap = Bitmap.createBitmap(mat.cols(), mat.rows(), Bitmap.Config.ARGB_8888);
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Utils.matToBitmap(mat, bitmap);
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Bitmap bitmap = Bitmap.createBitmap(mat.cols(), mat.rows(), Bitmap.Config.ARGB_8888);
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Utils.matToBitmap(mat, bitmap);
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// Display the bitmap in an ImageView
|
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|
imageView.setImageBitmap(bitmap);
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// Display the bitmap in an ImageView
|
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|
|
imageView.setImageBitmap(bitmap);
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|
}
|
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|
}
|
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|
}
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