Hi, How can I detect and track an object while its moving in a video and want to know its position?

34 次查看（过去 30 天）

显示更早的评论

Batuhan Istanbullu 2022-11-6

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1844893-hi-how-can-i-detect-and-track-an-object-while-its-moving-in-a-video-and-want-to-know-its-position

评论： Batuhan Istanbullu 2022-11-21

采纳的回答： Image Analyst

Hi, How can I detect and track an object while its moving in a video and want to know its position?

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Image Analyst 2022-11-6

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1844893-hi-how-can-i-detect-and-track-an-object-while-its-moving-in-a-video-and-want-to-know-its-position#answer_1092643

track_color_in_video.zip

See my attached demo where I track a green Sharpie in a video.

16 个评论
显示 14更早的评论隐藏 14更早的评论

Batuhan Istanbullu 2022-11-20

% Demo to track green color. Finds and annotates centroid and bounding box of green blobs.

% Modify thresholds to detect different colors.

clc; % Clear the command window.

close all; % Close all figures (except those of imtool.)

imtool close all; % Close all imtool figures if you have the Image Processing Toolbox.

clear; % Erase all existing variables. Or clearvars if you want.

workspace; % Make sure the workspace panel is showing.

format long g;

format compact;

fontSize = 20;

% Specify input video file name.

folder = pwd;

% fullFileName = 'rhinos.avi';

% fullFileName = 'traffic.avi';

baseFileName = 'BlueLed.wmv';

fullFileName = fullfile(folder, baseFileName);

% Instantiate a video reader object for this video.

videoObject = VideoReader(fullFileName);

% Setup other parameters

numberOfFrames = videoObject.NumberOfFrame;

% Set HSV thresholds for the green sharpie in the demo video.

% Modify the thresholds to detect different colors.

hThresholds = [0.588, 0.969];

sThresholds = [0.386, 1.000];

vThresholds = [0.959, 1.000];

% Read one frame at a time, and find specified color.

for k = 1 : numberOfFrames

% Read one frame

thisFrame=read(videoObject,k);

hImage=subplot(3, 4, 1);

% Display it.

imshow(thisFrame);

axis on;

caption = sprintf('Original RGB image, frame #%d 0f %d', k, numberOfFrames);

title(caption, 'FontSize', fontSize);

drawnow;

hsv = rgb2hsv(double(thisFrame));

hue=hsv(:,:,1);

sat=hsv(:,:,2);

val=hsv(:,:,3);

if k == 1

% Enlarge figure to full screen.

set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);

% Give a name to the title bar.

set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')

hCheckbox = uicontrol('Style','checkbox',...

'Units', 'Normalized',...

'String', 'Finish Now',...

'Value',0,'Position', [.2 .96 .4 .05], ...

'FontSize', 14);

end

% Compute histograms for H, S, and V channels

% Let's compute and display the histogram.

binaryH = hue >= hThresholds(1) & hue <= hThresholds(2);

binaryS = sat >= sThresholds(1) & sat <= sThresholds(2);

binaryV = val >= vThresholds(1) & val <= vThresholds(2);

% Overall color mask is the AND of all the masks.

coloredMask = binaryH & binaryS & binaryV;

% Filter out small blobs.

coloredMask = bwareaopen(coloredMask, 500);

[labeledImage, numberOfRegions] = bwlabel(coloredMask);

if numberOfRegions >= 1

stats = regionprops(labeledImage, 'BoundingBox', 'Centroid');

% Delete old texts and rectangles

if exist('hRect', 'var')

delete(hRect);

end

if exist('hText', 'var')

delete(hText);

end

% Display the original image again.

subplot(3, 4, 5); % Switch to original image.

hImage=subplot(3, 4, 5);

imshow(thisFrame);

axis on;

hold on;

caption = sprintf('%d blobs found in frame #%d 0f %d', numberOfRegions, k, numberOfFrames);

title(caption, 'FontSize', fontSize);

drawnow;

%This is a loop to bound the colored objects in a rectangular box.

for r = 1 : numberOfRegions

% Find location for this blob.

thisBB = stats(r).BoundingBox;

thisCentroid = stats(r).Centroid;

hRect(r) = rectangle('Position', thisBB, 'EdgeColor', 'r', 'LineWidth', 2);

hSpot = plot(thisCentroid(1), thisCentroid(2), 'y+', 'MarkerSize', 10, 'LineWidth', 2)

hText(r) = text(thisBB(1), thisBB(2)-20, strcat('X: ', num2str(round(thisCentroid(1))), ' Y: ', num2str(round(thisCentroid(2)))));

set(hText(r), 'FontName', 'Arial', 'FontWeight', 'bold', 'FontSize', 12, 'Color', 'yellow');

end

hold off

drawnow;

end

% See if they want to bail out

if get(hCheckbox, 'Value')

% Finish now checkbox is checked.

msgbox('Done with demo.');

return;

end

end

msgbox('Done with demo.');

here is the code itself too^^

Walter Roberson 2022-11-20

That video is Microsoft ASF codec. That codec is not supported on MacOS. When I convert the video to m4v using VLC then the program runs without problem for me.

I suspect that your system is not reading the video properly.

I find some indications that historically those kinds of videos were supported by MATLAB on Windows, but that there were difficulties that the frame count could not be determined until the file had been completely read. I do not know if that is still the case.

Batuhan Istanbullu 2022-11-21

I will try to search any solutions to that problem if possible, thank you for your help and attention Walter.

Have a good day!

请先登录，再进行评论。

更多回答（1 个）

Walter Roberson 2022-11-6

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1844893-hi-how-can-i-detect-and-track-an-object-while-its-moving-in-a-video-and-want-to-know-its-position#answer_1092628

See https://www.mathworks.com/help/vision/tracking-and-motion-estimation.html

If this is in the context of Driving (video is really a camera), see https://www.mathworks.com/help/driving/ref/multiobjecttracker.html

If this were in the context of multiple sensors then see https://www.mathworks.com/help/fusion/multi-object-trackers.html

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

类别

Image Processing and Computer Vision Computer Vision Toolbox Recognition, Object Detection, and Semantic Segmentation Object Detection

在 Help Center 和 File Exchange 中查找有关 Object Detection 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Translated by