ph.edu.dlsu.mhealth.vision.DetectionBasedTracker.java Source code

Introduction

Here is the source code for ph.edu.dlsu.mhealth.vision.DetectionBasedTracker.java

Source

/**
 *
 *
 *
 * This file is taken directly from OpenCV3.0 Android SDK face-detection sample.
 *
 *
 *
 *                             ***  OpenCV License ***
 *
 *
 *
    
 By downloading, copying, installing or using the software you agree to this license.
 If you do not agree to this license, do not download, install, copy or use the software.
    
 License Agreement For Open Source Computer Vision Library
    
 (3-clause BSD License)
    
 Redistribution and use in source and binary forms, with or without modification, are permitted
 provided that the following conditions are met:
    
 - Redistributions of source code must retain the above copyright notice, this list of conditions
 and the following disclaimer.
    
 - Redistributions in binary form must reproduce the above copyright notice, this list of conditions
 and the following disclaimer in the documentation and/or other materials provided with the distribution.
    
 - Neither the names of the copyright holders nor the names of the contributors may be used to endorse
 or promote products derived from this software without specific prior written permission.
    
 This software is provided by the copyright holders and contributors as is? and any express or implied warranties,
 including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed.
    
 In no event shall copyright holders or contributors be liable for any direct, indirect, incidental, special, exemplary, or
 consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits;
 or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort
 (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility
 of such damage.
    
 *
 *
 *
 */

package ph.edu.dlsu.mhealth.vision;

import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;

public final class DetectionBasedTracker {
    public DetectionBasedTracker(String cascadeName, int minFaceSize) {
        mNativeAddr = nativeCreateObject(cascadeName, minFaceSize);
    }

    public void start() {
        nativeStart(mNativeAddr);
    }

    public void stop() {
        nativeStop(mNativeAddr);
    }

    public void setMinFaceSize(int size) {
        nativeSetFaceSize(mNativeAddr, size);
    }

    public void detect(Mat imageGray, MatOfRect faces) {
        nativeDetect(mNativeAddr, imageGray.getNativeObjAddr(), faces.getNativeObjAddr());
    }

    public void release() {
        nativeDestroyObject(mNativeAddr);
        mNativeAddr = 0;
    }

    @Override
    protected void finalize() throws Throwable {
        release();
        super.finalize();
    }

    private long mNativeAddr = 0;

    private static native long nativeCreateObject(String cascadeName, int minFaceSize);

    private static native void nativeDestroyObject(long thiz);

    private static native void nativeStart(long thiz);

    private static native void nativeStop(long thiz);

    private static native void nativeSetFaceSize(long thiz, int size);

    private static native void nativeDetect(long thiz, long inputImage, long faces);
}