2014-04-14 18:14:52 -0600 | received badge | ● Student (source) |
2013-03-03 03:22:03 -0600 | asked a question | Background subtraction problem Hi I am working on a video processing project to detect foreground objects and my code to separate foreground and background is as follows : and the resulting foregroundmask I got is : t seems my code doesnt cover the whole object completely. Is there anyway I can improve it?? |
2013-03-02 10:00:51 -0600 | asked a question | improving background subtraction Hi, I am working on video processing project to detect fore ground objects. Below is a part of my code which is used to separate foreground and background. In the foreground mask window I am getting lot of noise along with the actual fore ground object. Also the fulll object is note recognized as foreground. I need to bound the fore ground objects with rectangles as well. Wil BoundRect() do the job if I draw contours around in the foreground mask?...Also what are the most recommended parameter to be passed while finding contours(findcontour()) and for the BoundRect function...thanks in advance |
2013-03-01 08:45:03 -0600 | answered a question | i just included header files, but... If you are working on Project check the project (.pro) file and make sure you have included the libraries |
2013-02-26 06:07:11 -0600 | asked a question | Implenting background subtraction I am working on project that needs to identify humans completely or partially. I tried using various haar cascade Hod cascades etc but these dont really seem to have the expected results with my project. The thing I want to implement is same as in this video : https://www.youtube.com/watch?v=KRKKektCcok I have a static background and hence the detection of the foreground will be much more easy with that. I need some clues to start with for implementing something as in the above video. |