Error while using foreground detection in matlab with webcam video?

3 Ansichten (letzte 30 Tage)
clear all
% video object to grab frame from live video
vidobj = imaq.VideoDevice('winvideo', 1);
detector = vision.ForegroundDetector(...
'NumTrainingFrames', 50, ... %
'InitialVariance', 30*30); % initial standard deviation of 30
blob = vision.BlobAnalysis(...
'CentroidOutputPort', false, 'AreaOutputPort', false, ...
'BoundingBoxOutputPort', true, ...
'MinimumBlobAreaSource', 'Property', 'MinimumBlobArea', 250);
shapeInserter = vision.ShapeInserter('BorderColor','White');
videoPlayer = vision.VideoPlayer();
for n=1:500
f = step(vidobj);
frame = rgb2gray(f);
fgMask = step(detector, frame);
bbox = step(blob, fgMask);
%out = step(shapeInserter, frame, fgMask); % draw bounding boxes
step(videoPlayer, fgMask); % view results in the video player
end
release(vidobj);
release(videoPlayer);
This is the initial code I've written, I'm trying to display the masked frame, so it should come in black and white where the white ones are the foreground object. But all I get is a completely black output stream. Where have I gone wrong?

Akzeptierte Antwort

Dima Lisin
Dima Lisin am 17 Sep. 2014
Bearbeitet: Dima Lisin am 17 Sep. 2014
Hi Aravind,
This is probably because the 'InitialVariance' of the foreground detector is not appropriate for the frame datatype. The value of 30^2 works for 'uint8'. However, the default data type of the frame returned by the step() method of imaq.VideoDevice is 'single'. So you should either do
vidobj = imaq.VideoDevice('winvideo', 1, 'ReturnedDataType', 'uint8');
or set 'InitialVariance' to (30 / 255)^2.

Weitere Antworten (0)

Kategorien

Mehr zu Computer Vision Toolbox finden Sie in Help Center und File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by