@FenestronX Thank you, This is not a color track example, you can see one here, watch?v=qV7CHkbQW3Q , tracking red =] ... For colocar tracking you`ll use cv.InRangeS.
There is Robust Background Subtraction algorithm that learn backgrounds and produce less noise, this is not the case ...
You`ll use cv.AbsDiff for to create the diference ... the subtraction ....
good job! would u give some tips about that
i am trying to track an object with color based thresholding algrithm
but there is some noise at the back ground..
can i use this algorithm to obtain an image witout noise?
i try cv.Sub() function but it returns error as follow
cv.Sub(thresholded_img,thresholded_img,thresholded_img,0)
TypeError: CvArr argument 'mask' must be IplImage, CvMat or CvMatND
thanks in advance :)
FenestronX 1 month ago
@FenestronX Thank you, This is not a color track example, you can see one here, watch?v=qV7CHkbQW3Q , tracking red =] ... For colocar tracking you`ll use cv.InRangeS.
There is Robust Background Subtraction algorithm that learn backgrounds and produce less noise, this is not the case ...
You`ll use cv.AbsDiff for to create the diference ... the subtraction ....
Hope it will help you .... Thank you
elisson357 1 month ago