I am working on a project where I'm trying to capture different kinds of gestures that mute people generally make and try to link it to a audio file which conveys the meaning of that particular gesture. I'm using opencv for computer vision applications and BeagleBone Black. Can you tell me which edge detection algorithms will be best suited for me? The challenge that I may face are- 1) The color intensity of the hand may match with that of the sourrounding. 2) There's no guarantee that the background will be moving or will it be in a standstill.
Another thing is the efficiency of the algorithm should be fast so as to recognize the gestures quickly. -- For more options, visit http://beagleboard.org/discuss --- You received this message because you are subscribed to the Google Groups "BeagleBoard" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
