Hello,

I am working on a university project using Pure Data for computer vision in order to investigate possible advantages or disadvantages in a music related interaction context.
The idea is to detect hands from an up-facing webcam in order to simulate a camera on a touch pad.

I've spend some weeks to get familiar with the objects in Gem namely pix and pix_opencv, but even with objects such as pix_opencv_bgstats or pix_opencv_bgsubstract, alone or in combination with other objects, have I been able to get a clear binary image to detect motion from.

If you could possibly have a look at my code and give me some hints to how I could improve it I would really appreciate it! Other suggestions are also most welcome!

What I want it to do is detect hand (preferably without arm?) and give me the following readings:
x-pos, y-pos, x-direction, y-direction,  x-acceleration, y-acceleration and blob size. x and y being for the center of the detected hand. Multiple blobs would also be great but I can't really understand how to use it so far.

I've attached one out of many attempts for the right solution.


I am using some objects from pix_opencv library which (in case you don't already have it) can be found here:

http://giss.tv/wiki/index.php/Opencv_for_PD#DOWNLOAD_.26_INSTALL

The best

Jonathan