车流量统计 matlab,基于视频的车流量统计——matlab代码
时间: 2023-11-22 17:05:59 浏览: 40
以下是基于视频的车流量统计的MATLAB代码,主要包括车辆检测、跟踪和计数:
```matlab
clear all;
close all;
clc;
% 读入视频
video = VideoReader('traffic.mp4');
nFrames = video.NumberOfFrames;
% 初始化车辆检测器
detector = vision.ForegroundDetector('NumGaussians', 3, 'NumTrainingFrames', 50);
% 初始化车辆跟踪器
tracker = MultiObjectTracker('FilterInitializationFcn', @initcvgmmblobfilter, 'AssignmentThreshold', 30, 'NumCoastingUpdates', 5);
% 初始化计数器
count = 0;
% 循环遍历每一帧
for i = 1 : nFrames
% 读取当前帧
frame = read(video, i);
% 车辆检测
fgMask = detector(frame);
% 去除噪声
fgMask = medfilt2(fgMask, [3 3]);
% 连通域分析
cc = bwconncomp(fgMask);
stats = regionprops(cc, 'Area', 'BoundingBox');
% 车辆跟踪
if ~isempty(stats)
bboxes = reshape([stats.BoundingBox], 4, [])';
bboxes(:, 3:4) = bboxes(:, 1:2) + bboxes(:, 3:4) - 1;
predictTracks = predict(tracker);
[assignments, unassignedTracks, unassignedDetections] = detectionToTrackAssignment(predictTracks, bboxes);
updateTracks(tracker, assignments, bboxes);
deleteTracks(tracker, unassignedTracks);
else
updateTracks(tracker, [], []);
end
% 计数
count = count + countCars(tracker);
% 显示结果
frame = insertObjectAnnotation(frame, 'rectangle', tracker.Bboxes, tracker.Ids);
frame = insertText(frame, [10 10], ['Count: ' num2str(count)], 'FontSize', 20);
imshow(frame);
drawnow;
end
```
注意,以上代码需要使用计数函数countCars,其代码如下:
```matlab
function count = countCars(tracker)
count = 0;
for i = 1 : length(tracker.ActiveTracks)
if tracker.ActiveTracks(i).Age > 5 && tracker.ActiveTracks(i).TotalVisibleCount > 5 && tracker.ActiveTracks(i).Bbox(2) > 300
count = count + 1;
deleteTrack(tracker, tracker.ActiveTracks(i).TrackID);
end
end
end
```
以上代码实现了基于视频的车流量统计,具体可根据实际需求进行修改。