Hi
With certain modification to your code you can achieve your desired goal of displaying indexes for the car objects in the video. These modifications include rework of the 'CurrentObj' function, the method to extract and store centroids and the approach to display rectangles and car object index on the video clip. More details are given below:
- Initialize a variable ‘temp’ to store the centroids.
clc;
clear all;
close all;
Filename = 'tr2.mp4';
temp = zeros(10, 0); % Initialize temp with correct dimensions
2. For extracting centroid of the objects you may use a direct approach.
stats = regionprops(im3, 'Centroid', 'BoundingBox', 'Area');
centroids = cat(1, stats.Centroid); % Extract centroids directly
% Update the IDs based on new detections
[newcar, oldcar] = Currentobj(centroids', temp);
temp = centroids'; % Update temp for the next iteration
3. Modify the ‘CurrentObj’ function for counting new objects in a frame.
function [new_object, old_object] = Currentobj(new_frame, previous_frame)
old_object = [];
new_object = [];
newObjectCount = 0;
for i = 1:size(new_frame, 2)
found = false;
for j = 1:size(previous_frame, 2)
if distnce(new_frame(:,i), previous_frame(:,j)) < 10
found = true;
break;
end
end
if ~found
newObjectCount = newObjectCount + 1;
new_object = [new_object, [new_frame(:,i); newObjectCount]]; % Append new object with its ID
end
end
end
4. And then to draw rectangles and display the IDs for the cars, you may go with this approach.
for i = 1:length(stats)
if stats(i).Area > 300 && i <= size(newcar, 2)
rectangle('Position', stats(i).BoundingBox, 'LineWidth', 2, 'EdgeColor', 'g');
% Display the ID near the detected car
text(centroids(i, 1), centroids(i, 2), sprintf('%d', newcar(3, i)), 'Color', 'yellow', 'FontSize', 30);
end
end
You may try the above modifications in your code the achieve the desired goal.
Hope this help!
