Opencv汽车计数

Question

嗨，今天我有一个关于使用java在opencv中计算汽车的问题。我完全可以通过视频检测汽车，但我的车载计数器并不算完美，例如，如果我们有10辆汽车，它有时只计算8辆9.这是我的最后一年项目请帮帮我。这是关于汽车检测的代码

    while (running) {
        Mat previusFrame = new Mat();
        Mat currentFrame = new Mat();
        Mat grayImage1 = new Mat();
        Mat grayImage2 = new Mat();
        Mat differenceImage = new Mat();
        Mat thresholdImage = new Mat();

        camera.read(previusFrame);
        Imgproc.resize(previusFrame, previusFrame, new Size(WIDTH, HEIGHT));
        Imgproc.cvtColor(previusFrame, grayImage1, Imgproc.COLOR_BGR2GRAY);
        while (running) {
            boolean frameSucces = camera.read(currentFrame);
            if (frameSucces) {
                Imgproc.resize(currentFrame, currentFrame, new Size(WIDTH, HEIGHT));
                Imgproc.cvtColor(currentFrame, grayImage2, Imgproc.COLOR_BGR2GRAY);

            } else {
                break;
            }

            //abbs differnce
            Core.absdiff(grayImage1, grayImage2, differenceImage);
            Imgproc.threshold(differenceImage, thresholdImage, SENSITIVE, 255, Imgproc.THRESH_BINARY);
            Imgproc.blur(thresholdImage, thresholdImage, new Size(BLUR, BLUR));
            Imgproc.threshold(thresholdImage, thresholdImage, SENSITIVE, 255, Imgproc.THRESH_BINARY);

            //finding Movement
            Mat heirarchy = new Mat();
            Rect boundingRect = new Rect(0, 0, 0, 0);
            List<MatOfPoint> contour = new ArrayList<MatOfPoint>();
            Imgproc.findContours(thresholdImage, contour, heirarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
            for (int i = 0; i < contour.size(); i++) {
                boundingRect = Imgproc.boundingRect(contour.get(i));

                if (boundingRect.area() > 500) {
                    Imgproc.rectangle(currentFrame, boundingRect.tl(), boundingRect.br(), new Scalar(0, 0, 255), 2);

                }
            }
            Imgproc.line(currentFrame, new Point(10, 200), new Point(currentFrame.width() - 10, 200), new Scalar(0, 255, 0), 3);

            Moments moment = Imgproc.moments(thresholdImage);
            double m10 = moment.get_m10();
            double m01 = moment.get_m01();
            double m_area = moment.get_m00();
            int posx = (int) (m10 / m_area);
            int posy = (int) (m01 / m_area);
            if (posy > 202 && posy <= 245) {
                i++;
            }
            label.setText("cars Number" + i);
            MatOfByte matof = new MatOfByte();
            Imgcodecs.imencode(".bmp", currentFrame, matof);
            byte[] data = matof.toArray();
            try {
                image = ImageIO.read(new ByteArrayInputStream(data));
            } catch (IOException ex) {
                Logger.getLogger(MotionDetecter.class.getName()).log(Level.SEVERE, null, ex);
            }
            Graphics g = getGraphics();
            g.drawImage(image, 0, 20, null);

            grayImage2.copyTo(grayImage1);

        }

        camera.release();

        try {
            Thread.sleep(100);
        } catch (InterruptedException ex) {
            Logger.getLogger(MotionDetecter.class.getName()).log(Level.SEVERE, null, ex);
        }
    }
}