Thank you for the advice. But I'm a student and a newbie and experimenting 
out on things. So can you say about the efficient edge detection algorithms?


On Friday, December 19, 2014 1:34:03 AM UTC+5:30, john3909 wrote:
>
>
> From: biswesh panda <bisweshanu...@gmail.com>
> Reply-To: "beagleboard@googlegroups.com" <beagleboard@googlegroups.com>
> Date: Thursday, December 18, 2014 at 10:59 AM
> To: "beagleboard@googlegroups.com" <beagleboard@googlegroups.com>
> Subject: [beagleboard] Gesture Recognition System
>
> 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.
>
> I think the BBB won’t have the horsepower to do what you want. The next 
> product called BeagleBoard-X15 will be more suitable for this application 
> and is scheduled for release sometime in Feb 2015. 
>
> Regards,
> John
>
>
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