I´m in the need of detecting the user´s pose in a scene. I need to detect simple full body poses in which the user is always facing the camera, such as arms opened and legs closed as forming a T, or arms and legs wide open as forming an X. There might be quite a few variants… like one arm lifted straight up, etc… so the solution should contemplate a pose recording procedure.
I have a kinect sensor at disposal.
I did some skeleton tracking with Kinect some time ago, and found it too noisy, so I started to look into OpenCV and the HaarFinder class trying to match the user´s silhouette to some predefined silhouette (everything with black background). But I got stuck generating the haar classifiers (opencv_haartraining.exe ends up consuming my entire physical memory… this might be that I´m either doing something wrong with the samples -positive and negatives-, or that my solhouettes are not suitable for haar recognition).
I´m working with solhouettes pretty much a this one: https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcSnbOHxcTg1zKwPisaX7CsIIbvk6IXj7jHqVD-KWbfGfbShVG4uzGp4pg
Anyways, does anyone have some advice either for achieving pose recognition or for unlocking the opencv issue?