Spontaneous Projects is a chronicle of all of my projects, a reference for me, and a way to prevent others from making the same mistakes.
The other day I wandered onto this interesting CV contest, via a post on LinkedIn.
Basically, they want an algorithm designed to identify Rhino's and other animals from drone footage.
The footage they provide isn't ideal, and it looks like we'll only be able to use either normal or IR at a time for the contest because we don't have synced video. The artifacts on the outer borders are also going to be a pain.
http://www.youtube.com/watch?v=1SBMxizOPtg
My basic plan at this stage is to look for things that have a different visual flow, and then cut them out to compare to a database of existing elements, which should be able to ID them as Rhino or No. Ideally it'll also track the ones it has checked, and prompt for user agreement if the match is not great, If we can also add in new animals in the same way that too would be ideal.
Looks like a fun challenge, they have no preference for language, but want it to be implemented most easily in future, but can't tell us what platform things are on... I might stick to matlab and assume not live footage as it will be easier for me.
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