matlabKLT光流法
时间: 2023-12-09 15:36:45 浏览: 117
KLT(Kanade-Lucas-Tomasi)光流法是一种基于互相关的光流估计方法,它是一种基于局部区域的光流估计方法,可以用于跟踪图像中的特征点。在MATLAB中,可以使用vision.PointTracker对象来实现KLT光流法。
以下是MATLAB中使用KLT光流法进行目标跟踪的示例代码:
```matlab
% 读取视频文件
videoFileReader = vision.VideoFileReader('visionface.avi');
% 创建视频播放器
videoPlayer = vision.VideoPlayer('Position',[100,100,680,520]);
% 读取第一帧图像
videoFrame = step(videoFileReader);
% 检测人脸并选择跟踪点
faceDetector = vision.CascadeObjectDetector();
bbox = step(faceDetector, videoFrame);
points = detectMinEigenFeatures(rgb2gray(videoFrame), 'ROI', bbox);
% 创建KLT跟踪器
pointTracker = vision.PointTracker('MaxBidirectionalError', 2);
% 初始化跟踪器
initialize(pointTracker, points.Location, videoFrame);
% 循环处理每一帧图像
while ~isDone(videoFileReader)
% 读取当前帧图像
videoFrame = step(videoFileReader);
% 跟踪特征点
[points, isFound] = step(pointTracker, videoFrame);
visiblePoints = points(isFound, :);
oldInliers = oldPoints(isFound, :);
% 估计运动
[xform, oldInliers, visiblePoints] = estimateGeometricTransform(...
oldInliers, visiblePoints, 'similarity', 'MaxDistance', 4);
% 更新跟踪点
setPoints(pointTracker, visiblePoints);
oldPoints = visiblePoints;
% 显示结果
videoFrame = insertMarker(videoFrame, visiblePoints, '+', ...
'Color', 'white');
step(videoPlayer, videoFrame);
end
% 释放资源
release(videoFileReader);
release(videoPlayer);
```