After a lot of research, i found that real time object detection is light years ahead of the current state of OpenCV and computer vision. My current demo is working with SURF + FLANN and detects object fairly well but has a very, very low frame rate.
My initial approach was optimizing image quality, but that harms accuracy. So i played with minimum number of matches, maximum numbers of keypoints and other threshold values. I think i have the right amount of accuracy and performance balanced but its still not enough. I need it to be at least 2 times faster and 2 times more accurate. I did do some task manager examination and found that it is running on a single CPU core. Can i make it run on multiple cores? and if so, what would be the most optimal way. Also is it possible to make it run on the GPU?