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Object Detection and Tracking on Android

asked 2019-03-13 09:17:17 -0500

Hi,

I am about to embark on a bit of a journey into Computer Vision. My Goal is to track a single (but changeable) Object in the CameraPreview of an Android Phone. I have done some research online about what different methods there are to achieve this, I found a lot of videos showing that it works, but sadly i didn't find any examples published on github. From what I saw and read i would implement a MOSSE tracker because it seems not to be too computationally expensive (which would mean i could run it on a phone). Additionally i was thinking i would like to combine this with a detection network which i would run sparsely on some of the Frames - depending on how much cost is asociated with that. This I would do to correct any accumulated tracking error of the bounding box which i would like to be as accurate as possible. That said this is only a plan not having done any work with CV algorithms before. I would appreciate any tips on performance of the different options out there and/or any links to some ressources/sample projects that you know of.

The main question I have is: Is what I am thinking possible or are there any major hurdles that I can not see yet that would prevent me from doing this? Thanks for your help

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answered 2019-03-13 09:29:05 -0500

berak gravatar image

i'd think, you're on the right path already.

tracking does not care, what it tracks (so it's interchangeable), but it needs an initial rectangle / detection (so there we're at the object detecton part. maybe look at the dnn detection example for the latter ?

then, unfortunately, the tracking module is not part of the main opencv android SDK, to use it, you'll have to rebuild from src (with the opencv_contrib modules), see here for that

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Thank you for the quick feedback :D I will checkout the resources and check in once i have other or more specific questions.

ARPatrick gravatar imageARPatrick ( 2019-03-13 10:32:38 -0500 )edit
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Asked: 2019-03-13 09:17:17 -0500

Seen: 64 times

Last updated: Mar 13