From:  biswesh panda <[email protected]>
Reply-To:  "[email protected]" <[email protected]>
Date:  Thursday, December 18, 2014 at 12:52 PM
To:  "[email protected]" <[email protected]>
Subject:  Re: [beagleboard] Gesture Recognition System

> 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?
I don¹t know enough to offer any advice but I asked my brother-in-law who
does image recognition for JPL and he suggested Canny.

http://www.robotix.in/tutorials/category/opencv/edge_detection

Regards,
John
> 
> 
> 
> On Friday, December 19, 2014 1:34:03 AM UTC+5:30, john3909 wrote:
>> 
>> From:  biswesh panda <[email protected]>
>> Reply-To:  "[email protected]" <[email protected]>
>> Date:  Thursday, December 18, 2014 at 10:59 AM
>> To:  "[email protected]" <[email protected]>
>> 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 won¹t 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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> 
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