Hi,

Pre-processing is the important thing because we didn't get clear cut
images in every time.
Center-symmetric local binary patterns (CS-LBP) and Histogram of oriented
gradients(HOG) feature extraction methods (combinations of these two
methods) can be used to detected humans in the image.

[1] http://research.ijcaonline.org/ncesco2015/number2/ncesco5315.pdf


On Mon, Aug 15, 2016 at 4:14 PM, Sanjiva Weerawarana <[email protected]>
wrote:

> Looks good!
>
> In terms of test data we can take the video cameras in the LK Palm Grove
> lobby as an input source to play around with people analysis. For vehicles
> we can plop a camera pointing to Duplication Road and get plenty of data
> :-).
>
> I guess we should do some small experiments to see how things work.
>
> Sanjiva.
>
> On Wed, Aug 10, 2016 at 3:02 PM, Srinath Perera <[email protected]> wrote:
>
>> Attached document list some of the initial ideas about the topic. Anusha
>> is exploring some of the ideas as an intern project.
>>
>> Please comment and help ( specially if you have worked on this area or
>> has tried out things)
>>
>>
>> Thanks
>> Srinath
>>
>> --
>> ============================
>> Srinath Perera, Ph.D.
>>    http://people.apache.org/~hemapani/
>>    http://srinathsview.blogspot.com/
>>
>
>
>
> --
> Sanjiva Weerawarana, Ph.D.
> Founder, CEO & Chief Architect; WSO2, Inc.;  http://wso2.com/
> email: [email protected]; office: (+1 650 745 4499 | +94  11 214 5345)
> x5700; cell: +94 77 787 6880 | +1 408 466 5099; voip: +1 650 265 8311
> blog: http://sanjiva.weerawarana.org/; twitter: @sanjiva
> Lean . Enterprise . Middleware
>
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>


-- 
Thank You,
Best Regards,

Sidath Weerasinghe


*Intern*

*WSO2, Inc. *

*lean . enterprise . middleware *


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