基于帧差法的目标跟踪matlab

基于帧差法的目标跟踪是一种简单而有效的方法，它可以通过计算相邻帧之间的像素变化来检测和跟踪运动目标。以下是一个基于帧差法的目标跟踪的MATLAB实现示例：

1. 读取视频帧序列

videoReader = VideoReader('test_video.mp4');
frameCount = videoReader.NumberOfFrames;
frames = cell(1, frameCount);
for i = 1:frameCount
    frames{i} = read(videoReader, i);
end

2. 提取目标区域并进行背景建模

background = imopen(frames{1}, strel('disk', 5));
foreground = zeros(size(frames{1}));
for i = 1:frameCount
    frame = frames{i};
    diff = imabsdiff(frame, background);
    grayDiff = rgb2gray(diff);
    threshold = graythresh(grayDiff);
    binDiff = imbinarize(grayDiff, threshold);
    binDiff = imfill(binDiff, 'holes');
    binDiff = bwareafilt(binDiff, 1);
    foreground = imoverlay(frame, binDiff, [1,0,0]);
    imshow(foreground);
end

3. 计算目标运动轨迹

props = regionprops(binDiff, 'Centroid');
centroids = cat(1, props.Centroid);
if size(centroids, 1) >= 2
    displacement = centroids(2,:) - centroids(1,:);
    motionVector = [motionVector; displacement];
    position = position + displacement;
end

在上述代码中，我们首先读取视频帧序列并提取目标区域。然后，我们计算目标的运动轨迹，并使用motionVector和position变量来跟踪目标的位置和速度。

这是一个基本的帧差法目标跟踪实现示例，可以根据实际情况进行调整和改进。